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Vendor : IBM
Exam Code : 000-636
Exam Name : Requirements Management with Use Cases - Part 1
Questions and Answers : 99 Q & A
Updated On : April 17, 2019
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000-636 Requirements Management with Use Cases - Part 1

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000-636 exam Dumps Source : Requirements Management with Use Cases - Part 1

Test Code : 000-636
Test Name : Requirements Management with Use Cases - Part 1
Vendor Name : IBM
Q&A : 99 Real Questions

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fitness Quest units out to raise Participation in medical Trials with IBM Watson | Real Questions and Pass4sure dumps

Use of IBM Watson for clinical Trial Matching Expands health Quest's Use of AI

ARMONK, N.Y. and LAGRANGEVILLE, N.Y., March 21, 2019 /PRNewswire/ -- fitness Quest systems Inc., a 4-clinic fitness equipment operating in manhattan's Hudson Valley and northwest Connecticut, and IBM Watson health (NYSE: IBM) have entered an agreement so that you can leverage the power of artificial intelligence (AI) with the purpose of increasing participation in scientific trials. fitness Quest will deploy IBM Watson for clinical Trial Matching, a cognitive computing gadget that suits sufferers to medical trials for which they may be eligible, all over its hospitals.

IBM company brand. (PRNewsfoto/IBM)


IBM Watson for medical Trial Matching helps clinicians and coordinators greater without difficulty and rapidly establish trials and potentially eligible sufferers, enabling healthcare suppliers and patients to accept as true with appropriate ones as part of a care plan. The answer eliminates the should manually evaluate enrollment criteria with patient medical information, making it possible to effectively determine an individual's abilities trial alternate options and provide entry to novel melanoma care cures.

"health Quest is dedicated to fitting a frontrunner in the application of AI and other advanced know-how to improve affected person care and company efficiency. Watson for scientific Trial Matching enables us to increase affected person access to advanced clinical trials with the aid of eliminating the drudgery of manually shopping through charts to rapidly healthy sufferers with the superior clinical trial(s) for his or her circumstance," noted Dr. Glenn Loomis, Chief clinical Operations Officer, fitness Quest.

"while clinical trials present sufferers access to promising new and rising remedies, only 5 p.c of grownup patients with cancers participate in scientific trials. because of this, eighty p.c of scientific trials fail to fulfill enrollment timelines and necessities," stated Kyu Rhee, vice chairman and Chief fitness Officer, IBM Watson health. "through integrating IBM Watson for scientific Trial Matching, fitness Quest aims to increase clinical trial enrollment and, with the aid of featuring entry to new, cutting-edge cures, the health equipment can play a key position in advancing the science of oncology care."

One academic medical center discovered that in the 18 months after implementation, there changed into on standard an 84 % boost in enrollment to its systemic therapy clinical trials for breast cancer (from 3.5 patients/month to six.4 sufferers/month). The time to monitor an individual affected person for medical trial fits additionally fell when compared with ordinary manual methods.

additionally, in a look at with the Highlands Oncology neighborhood and Novartis , use of IBM Watson for clinical Trial Matching effectively reduce the time to reveal sufferers for trial eligibility with the aid of seventy eight %, decreasing processing time from 1 hour and 50 minutes to 24 minutes.

using IBM Watson for clinical Trial Matching extra scales health Quest's use of AI within its device. fitness Quest uses Watson Care manager to establish, categorize and rank crucial concepts from unstructured care management notes and establish gaps in care, tune individual touch aspects and refine its method to increase system-vast inhabitants fitness. in the health gadget's first 12 months working with Watson Care manager, fitness Quest earned a 1.65 percent merit-based mostly charge bonus from the center for Medicare and Medicaid services and generated $3.7 million in new earnings by using extra-correctly tracking sufferers in need and prompting them to be seen for hobbies care. fitness Quest is investigating additional AI purposes in its journey to be a pacesetter in the use of superior know-how to increase the care of patients and assist providers.

Story continues

About health Quest fitness Quest is a family unit of integrated nonprofit hospitals and healthcare authorities within the Hudson Valley and northwest Connecticut. health Quest combines proficient physicians, state-of-the-artwork know-how and compassionate caregivers dedicated to presenting exceptional care throughout lots of service strains, including Neurosciences, Oncology, Cardiovascular, girls/little ones's and Orthopedics.

health Quest has a network of effortless areas right through Columbia, Dutchess, Ulster, Orange, Putnam and northern Westchester counties in manhattan in addition to western Connecticut, together with four award-profitable hospitals —Northern Dutchess sanatorium in Rhinebeck, Putnam hospital center in Carmel, Sharon health facility in Sharon, Conn. and Vassar Brothers clinical middle in Poughkeepsie —plus diverse fitness Quest medical follow fundamental care and forte locations, two urgent Care areas and affiliates together with the Thompson condominium, a a hundred-bed professional nursing facility on the Northern Dutchess sanatorium campus, fitness Quest home Care and The heart core, a leading provider of cardiology features within the vicinity.

About IBM Watson health Watson health is a business unit of IBM that's committed to the development and implementation of cognitive and facts-driven applied sciences to enhance health. Watson fitness applied sciences are tackling a big range of the area's greatest health care challenges, including melanoma, diabetes, drug discovery and more. be trained greater.

John R. NelsonDirector, Public and community Affairs, health

Suzanne CrossIBM

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IBM Watson partnership to remove ‘drudgery’ of medical trial enrollment | Real Questions and Pass4sure dumps

the usage of the synthetic intelligence (AI) platform, there is not any should manually evaluate enrollment standards with affected person clinical records, according to the business.

Glenn Loomis, chief scientific operations officer at fitness Quest spoke of in a statement, “Watson for medical Trial Matching allows for us to enrich patient entry to superior clinical trials by using removing the drudgery of manually looking via charts to promptly in shape sufferers with the ultimate medical trials for their circumstance.”​

IBM Watson for clinical Trial Matching also allows for fitness care suppliers and sufferers to accept as true with scientific trials and might be raise oncology care through additional research. In 2018, the Mayo clinic mentioned that IBM Watson for clinical Trial Matching established an 80% enhance​ in clinical trial enrollment.

Positioning patients to possibly enter clinical trials is anything IBM strives for, Kyu Rhee VP and chief fitness officer, IBM Watson health referred to in a press release. “while scientific trials offer patients access to promising new and emerging treatments handiest 5 percent of grownup patients with cancers participate in medical trials. as a result, eighty % of clinical trials fail to fulfill enrollment timelines and necessities,” ​he spoke of.

fitness Quest presently makes use of Watson Care manager, a further member of the IBM Watson family unit, to categorize unstructured care administration notes and determine gaps in care.

IBM is working with businesses, together with pharma giants Pfizer​ and Boehringer Ingelheim​, as neatly because the contract analysis company (CRO) Ico​n.​

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HANNOVER MESSE 2019: itelligence to Showcase Use Cases and Scenarios for Connected Industry | real questions and Pass4sure dumps

HANOVER and BIELEFELD, Germany, March 31, 2019 /PRNewswire/ -- At booth E12 in hall 7 at the 2019 HANNOVER MESSE from April 1 to 5, itelligence AG is presenting concrete Industry 4.0 application scenarios in the fields of logistics, maintenance, analytics and production. At four different workstations the company is showcasing the numerous ways in which state-of-the-art IT solutions can be used to optimise industrial production and logistics processes, fully in keeping with this year's slogan of the world's most important industrial trade fair: "Integrated Industry – Industrial Intelligence". The embedding of AI methodology in the management of value creation processes and the intensive analytical use of data sources of all kinds have a special significance here. 

Norbert Rotter, CEO of itelligence AG: "Digital technologies such as artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) have enormous potential in the industrial context and that's exactly what we are showing in the concrete use cases at our booth. As one of the leading SAP consulting companies, we have been successfully supporting companies for many years on their individual paths towards digitalisation."

itelligence and XERVON: intelligent networking with AI

At the 2019 Hannover Messe, the Bielefeld consultancy is demonstrating how digital innovations in analytics and maintenance can be used for process optimisation and quality assurance, taking its customer XERVON as an example. itelligence is supporting this international service provider for industrial maintenance as one of the winners of the "itelligence of Things" initiative which encourages German companies to start the digital transformation process with concrete projects.

itelligence is assisting XERVON with the conception and implementation of an intelligent industrial plant – based on self-learning algorithms. On water towers, for example, IoT sensors can be used to continuously collect data such as water pressure, temperature and vibrations caused by cooling equipment. This data is then automatically transferred and analysed in detail using ML. "Integration of ML enables large volumes of data to be automatically evaluated and interpreted. From this we get very detailed information about the current state of the plant", says Gerhard Baier, Director Business Analytics and Information Management at itelligence. "Based on the results of this analysis, pump start-up and operating times can be optimised to reduce wear on the pumps. Electricity costs account for a large proportion of operating costs. According to an initial forecast, optimisation potential of six to nine percent is expected.

Optimised material flows in logistics with smart solutions from itelligence

Digital networking offers enormous optimisation opportunities also in logistics, in particular through the automation of logistics processes. At its booth, itelligence is showcasing its in-house development, the Logistics Bridge, which is a solution for Logistics 4.0 that can be implemented within a short time. The program not only enables logistics processes to be automated but also allows for seamless tracking of goods as well as constant product and data security. Not only are the goods automatically identified and tracked by the Logistics Bridge in combination with IoT sensors and SAP Leonardo, but every change of position is also automatically booked in the integrated SAP system as a change of status.

"The itelligence Logistics Bridge provides transparency in real time and therefore a seamless process and inventory overview as well as early detection of exceptional situations, such as delivery delays", explains Wolfgang Möller, Global Director Discrete Industries & Internet of Things, and the itelligence contact at the fair. "In the company itself the itelligence Logistics Bridge can also be used to optimise the sequence of internal goods transport, while recording and monitoring inventory and asset flows outside the company. Overall, material flows within the entire corporate logistics operation can be reliably and transparently optimised."

A small excursion into the application of long-range LoraWan technology in the supply and disposal logistics in conjunction with the precise analytical forecasting methods shows how huge optimisation potential can be achieved even with modest infrastructure investments.

Story continues

Digital solutions for optimal production planning and control

Visitors to the fair interested in digital innovations in the field of production will be shown a cross-section of SAP solutions for the production planning and control at itelligence's booth. For the mechanical engineering sector in particular, itelligence is demonstrating its fully featured it.manufacturing ERP system. With this smart industry solution, a wide range of requirements in mechanical and plant engineering are covered in a single application – complex production projects can therefore be reliably scaled and efficiently controlled.

itelligence is also using two events at the fair to present concrete insights into the wide variety of options that digital technologies have to offer industry. Solutions for the Industrial Internet of Things (IIoT) will be presented at the Expert Round Table event on April 3 at 6.45 pm in the Robotation Academy, together with cooperation partners HARTING and VDI nachrichten. Speakers include Philip Harting, CEO of the HARTING Technology Group and Norbert Rotter, CEO of itelligence AG. On April 2 at 11.20 am in Hall 14, Booth L19, itelligence will be giving a live demonstration of "RoboMe", the world's first management robot. "RoboMe" combines AI-based robotics with technologies for voice recognition and processing to take on day-to-day routine tasks independently.

- Picture is available at AP Images ( -


itelligence AG combines innovative SAP software and technology with services and own products to transform IT landscapes and business processes.

As an SAP Global Platinum Partner, itelligence supports SMEs and large enterprises in every phase of their digital transformation. itelligence's range of services includes IT strategy and transformation consulting, software deployment and implementation, as well as application management and managed cloud services. The excellence of these services is built on the foundation of local presence, global capabilities, and comprehensive industry expertise. itelligence partners with customers to create new and innovative business opportunities through the use of IT – across all of the customer's business areas. Thousands of satisfied customers have placed their trust in itelligence, many of them since the company was founded 30 years ago. itelligence's long-term economic success and important contributions to innovation have been confirmed by numerous SAP awards and leading IT analysts. itelligence's contribution to innovation and long-term business success has been confirmed by numerous awards gained from SAP and leading market analysts.

itelligence is part of the global NTT DATA group and employs over 8,000 people across 25 countries. In 2018, itelligence generated 926.6 million euros in total revenues.

Press contact

Head of Corporate Public Relations itelligence AGSilvia Dickeitelligence AGKönigsbreede 1D-33605 BielefeldE: silvia.dicke@itelligence.deT: +49(0)521/914-48-107W:


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10 Requirements to Know When Employing Staff in France | real questions and Pass4sure dumps

​French employment law differs from that of other countries, including the United States, so companies that are doing business in or are looking to do business in France but are unfamiliar with French law need to know several frequently overlooked requirements. This article provides an overview of 10 mandates that foreign companies might not know.

1. Written Employment Contracts

French law requires written contracts only in specific cases, such as for fixed-term or part-time contracts. However, it may require a written contract with the applicable collective bargaining unit. For employers, a written contract makes it possible to include certain provisions in the agreement, especially with respect to intellectual property rights, confidentiality and noncompetition clauses. The employment contract must be drafted in French.

2. Protection Against Dismissal and Severance Pay

In France, there is no concept similar to employment at will. An employer must always have a legally fair reason to fire an employee, and it generally must follow a specific procedure that includes an invitation to a predismissal meeting, a predismissal meeting and a dismissal letter. In every dismissal except in the case of serious misconduct, the employer must pay a dismissal indemnity, calculated according to the employee's average pay and his or her seniority at the company. If the dismissal is not justified, the employer may have to pay an additional indemnity, which is capped by French law and depends on the dismissed worker's seniority, salary and the harm he or she suffered.

3. Notice Periods

In most dismissal cases, except in the case of serious misconduct, the employee has a right to a notice period. The legal notice period depends on the worker's seniority at the company, and collective bargaining agreements usually require a notice period of one to three months. The employee can request a shorter notice period, in which case he or she won't be paid for time not worked.

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4. Statutory Vacation

Employees are entitled to 30 days of paid vacation per year. Collective bargaining agreements can provide more paid vacation days or more leave based on an employee's seniority.

5. Working-Time Regulations

The law caps a five-day workweek at 35 hours, and an employee can't work more than 10 hours in any workday. Hours worked beyond 35 hours are overtime, paid at an increased rate.

6. Continued Pay During Sickness

French law does not require employers to pay workers during the first three days of sick leave, although a collective bargaining agreement can provide otherwise. After the third day, an employee on sick leave receives 59 percent to 66.66 percent (depending on the family situation) of his or her pay, which comes from the French social security system. On the seventh day of sick leave, employers must supplement the social security pay so that an employee receives, at a minimum, 90 percent of his or her full pay for the next 30 days and 66 percent for the following 30 days. Collective bargaining agreements often provide for more pay.

7. Maternity and Parental Leave

New mothers can take up to six weeks of paid maternity leave before a baby is due and up to 10 weeks after a baby is born. New mothers may get longer leave if they deliver multiple children or if two or more children are already living at home. New fathers can take three days of paid leave after a child's birth and up to 11 days during the first four months after the birth.

Those adopting children have 10 weeks of paid leave or 22 weeks if they adopt more than one child.

8. Minimum Wage

As of Jan. 1, France's minimum wage is 10.03 euros (approximately U.S. $11.39) an hour. However, collective bargaining agreements often provide higher minimum wages.

9. Noncompete and Nonsolicitation Provisions

Employers can require former workers to sign noncompetition agreements only if the company can prove that doing so is necessary to protect the company's interests. In addition, the employer must pay a worker until the noncompetition agreement expires—typically about 30 percent of the worker's pay. Such agreements can last only a limited time, usually for one year. Employers should consider whether it makes financial sense to require a noncompetition agreement.

10. Works Councils

Companies that have employed at least 11 workers for a full year must create a committee of elected employees who present concerns and complaints to company leaders.

In companies with at least 50 employees, the committee's role is more substantial: It consults with company leaders on decisions regarding the company's organization, management and general operations. It also oversees social and cultural activities for employees.

Claire Dieterling is an attorney with Taylor Wessing in Munich and Paris.

Heterogeneous Design Creating Havoc With Firmware Versions | real questions and Pass4sure dumps

Adding different kinds of processing elements into chips is creating system-level incompatibilities because of sometimes necessary, but usually uncoordinated, firmware updates from multiple vendors.

In the past, firmware typically was synchronized with other firmware and the chip was verified and debugged. But this becomes much more difficult when multiple heterogeneous processing elements are introduced into the design for applications such as AI and networking infrastructure. Rather than updating firmware for a single type of processor, there are now multiple different processors, each with their own firmware updates for everything from performance and power to security.

The problem stems from the fact that no single processor can do everything optimally. A CPU for example, can handle high-level provisioning of resources for other compute elements more efficiently than other processors, but it is inefficient at multiply accumulate functions. In contrast, GPUs, FPGAs, eFPGAs, and DSPs are better at fixed or floating point math, but inefficient at managing resources.

The chip industry has seen this coming for some time. Starting at 90nm, chipmakers started making more tradeoffs in design than at any period prior to that, adding more cores to limit static current leakage and more memory to improve performance. At 16/14nm, these issues became acute enough that 3D transistors were required. And at 7/5/3nm, there will be more changes in transistor types (nanosheets, nanowires), materials (cobalt interconnects, possibly new substrate materials), and manufacturing and test equipment (EUV, ALD, ALE, ATE) just to maintain improvements in power and performance of 20% or less.

That’s not enough of a gain for most applications at advanced nodes, however. So to augment performance and reduce power further, chipmakers are making architectural and micro-architectural changes. This is critical in established markets such as mobile phones and networking, as well as new markets such as AI training, inferencing, 5G infrastructure and autonomous vehicles. Instead of a single processing element, chipmakers are adding multiple processing elements, often with small amounts of memory in close proximity of those processors. They also are experimenting with in-memory and near-memory processing, which can save time and energy by doing the processing closer to voluminous amounts of data, and by utilizing various types of multi-die packaging with high-speed interconnects to memory and between chips.

Each of the processing elements in these devices contains firmware, which is being constantly updated to deal with changes in algorithms and other higher-level code. But because all of these pieces are being developed by different vendors, keeping firmware updates and versions synchronized is becoming more challenging.

“We’re using processors from different vendors, and each vendor has its own release schedule and different quality of firmware,” said Mike Gianfagna, vice president of marketing at eSilicon. “This is a very big headache. Most of the problem is in the bring-up of the firmware. There are firmware interactions with other firmware. You also need to make sure everyone on the design team has the same version of firmware that they’re using.”

It gets more complicated. The same processor or memory may utilize different versions of firmware from the same vendor, depending upon the end application. Or it may use different versions of IP as that IP is updated over the course of the design cycle, each with its own unique firmware.

“So now you’ve got embedded processors, firmware and software, and when you hand off the package it gets more difficult,” said Gianfagna. “Keeping this all harmonized is very difficult.”

That may be an understatement. In many cases, there are hundreds of different processors or IP blocks, each with their own firmware.

“With heterogeneous computing, you build these systems using a lot of components,” said Ranjit Adhikary, vice president of marketing at ClioSoft. “But all applications may have different versions from different vendors. What gets updated and how that impacts them determines how they choose their firmware. This is becoming more and more of a challenge.”

Consider safety-critical markets such as medical devices and automotive, for example, where standards are still being defined and the technology is evolving to adapt to those standards.

“If you look at the medical device market, it takes a long time to make sure everything is working properly,” Adhikary said. “Typically, if something impacts you, you update the firmware. If it doesn’t impact you, you don’t do anything. But when you want to schedule an update, that’s usually for selective features. You may not need all of them. So you can choose not to do the update, or you can do the update at a different time. All of this requires a lot of testing. A lot of applications work with virtualization software like VMware. When you do simulation and get the latest handoff, you have to figure out what’s changed and whether that still works. You need to keep track of every design element and what version of the software they’re using.”

Different approaches to firmwareFirmware is software that is embedded into a hardware device to control basic operations, such as I/O, performance and power management. It can be exposed so that vendors can update it, typically using erasable programmable read-only memory (EPROM) or flash memory. Or it can be embedded permanently into ROM and never touched again.

In large chips, updating firmware can quickly spiral out of control. There are hundreds or even thousands of different elements in some chips, and there are a limited number of connections to allow everything to be updated. At older nodes this hasn’t been a serious problem because there is enough margin and potential workarounds available at a higher level, so that when something doesn’t work the chip continues to function. This is why systems companies are able to send out software patches to override hardware issues. While they may impact performance or power, that generally allows products to function until the next rev of that chip is available.

This approach becomes much more complicated in heterogeneous designs—especially in markets where products are supposed to last longer smart phones or other consumer devices, or in segments where safety is involved. The inability to update firmware that is deeply embedded in a chip can quickly render a device obsolete or limit its usefulness over time.

“If you have a many-core design, there’s a leap of faith that these devices will always be able to run simple tasks,” said Chris Jones, vice president of marketing at Codasip. “If one doesn’t run, there is no way to isolate the core. This is a tradeoff people have been willing to make in the past in name of power conservation.”

In large chips, complexity generally is tackled by segmenting portions of a design across the supply chain. This is the classic divide-and-conquer strategy that has been use successfully for many years. But as chips become more complex, the amount of third-party IP being used goes up considerably. Even large chipmakers don’t develop all of the IP in those chips, and as systems vendors increasingly develop their own chips, they are relying heavily on various commercially developed components such as instruction-set architectures, memories, I/O blocks and on-chip networks.

Add in data from multiple sources, or AI chips where many processors and memories are scattered around a chip, and firmware updates become increasingly difficult to manage.

“This is getting worse because of the heterogeneous nature of these designs,” Jones said. “The software guys are always going to push homogeneity. If you add in SMP (symmetric multi-processing), it makes the software job easier because the OS handles everything. But heterogeneity is a fact of life for low-power designs and cost.”

The problem extends to all software development, which is the fastest but not necessarily the most efficient way of keeping systems updated. But the higher the software level, the more exposed it is and the easier it is to change.

“Modern SoCs are built from different types of interconnected, scalable subsystems, with the final configurations based on the target market or customer’s requirements,” said Zibi Zalewski, general manager of Aldec‘s Hardware Division. “The scalability of subsystems allows them to grow the size and complexity very quickly, so it’s not a problem to scale from dual- to quad-core, for example, but it may be an issue to catch up with the proper tools. In addition, the hardware part of the project is no longer the dominant element. Software layers add significant complexity to the project, so it’s not just about the number of transistors. It’s the target function.”

Just getting hardware and software to work together is a challenge. Keeping them updated and debugged makes that more difficult.

“Going into future systems, whether that’s autonomous cars or 5G base stations, the problem is how to utilize the hardware, how to understand the code, and how to make all of this work,” said Max Odendahl, CEO of Silexica. “There is programming language after programming language, more modularity, more abstraction, more isolation. So you make it easier for individual teams to develop. But the problem is you have to put it all together. Maybe you need more parallelism to utilize your hardware.”

In some cases, the firmware becomes the glue to higher-level software. In some cases, it is only used internally in a processor or block. And in still other cases, the higher-level software ties into hooks that the firmware provides. All of this can get incredibly complicated very quickly.

“There are a million different ways to write your application,” said Odendahl. “There is shared memory, global variables, shared pipes and threads and multiple binaries all talking to each other. How do you understand whether the software you’ve written has anything to do with what was intended in the first place? We still see a lot of siloed thinking. The architect is doing some XOR in UML. Does that even mesh? People talk about software architecture erosion. Does the code have anything to do with what you intended in one place? To figure that out, you need very detailed software code understanding.”

That requires something of a mindset change for design teams, which need better ways to track these changes.

“We see issues with firmware in memory management and register management,” said Kurt Shuler, vice president of marketing at Arteris IP. “In an SoC, when you do a respin, the register map will change, but that’s not sent to the software guys. So you have to maintain synchronization between the registers, the peripherals and the hardware abstraction layers and the drivers, and today people are trying to track this with spreadsheets.”

Security and verification issuesSecurity adds another dimension to this problem. Complexity often leads to security vulnerabilities, and firmware that is not updated regularly can be one of the attack vectors. At the same time, hackers can gain entry to a system as the firmware is being updated, which frequently is done over the air.

“This is becoming more and more of a problem, because anything you do in software can be hacked,” said ClioSoft’s Adhikary. “If something happened, do you know what changed? If malicious code was inserted, can you see when and where that was done? If you understand all of this, it makes it easier to debug, but you need to know what handoffs were made, what versions were done and used. Did whoever made those changes check it in? What issues were they working on?”

It’s also becoming more challenging to track all of these changes on the verification side, because changes in firmware can affect the overall functionality of a device, and not all tools recognize that.

“We all remember the times it was enough to use simulation and implement the design for prototyping before the tape-out,” said Aldec’s Zalewski. “The next important milestone in the verification history was emulation, which was driven by the SoC projects to accelerate the simulation stage. And now, when the complexity of those doubles, hybrid co-emulation has gained in popularity, connecting high-level software modeling with hardware system verification. The integration of tools, enabling different teams working together as early as possible, has become a major challenge for the tools providers.”

ConclusionFirmware always has been a key part of chip design, but by and large it has been inaccessible to the outside world once that code is written. That has changed over the years as more updates are required by systems companies as a way of keeping those devices current and secure, and systems companies require some of that firmware to be exposed so it can modify it as needed.

What’s changing, though, is the number of elements that need updating, in part because there are so many more components in a complex chip, and in part because many of the new markets requiring heterogeneous integration are still evolving. This is particularly evident in AI, where algorithms are changing regularly, and in 5G, where it’s not entirely clear yet how some of these devices will be tested. Firmware written for one element in those designs may be updated far more frequently in the past, and it may have to be updated over longer periods of time, particularly when chips are used in markets such as assisted and autonomous vehicles. This makes tracking firmware and potential interactions considerably more difficult, and that is unlikely to change anytime in the foreseeable future.

Related StoriesAI Begins To Reshape Chip DesignTechnology adds more granularity, but starting point for design shifts as architectures cope with greater volumes of data.New Design Approaches At 7/5nmSmaller features and AI are creating system-level issues, but traditional ways of solving these problems don’t always work.How To Build An Automotive ChipChanging standards, stringent requirements and a mix of expertise make this a tough market to crack.Building AI SoCsHow to develop AI chips when algorithms are changing so quickly.

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IBM 000-636 Exam (Requirements Management with Use Cases - Part 1) Detailed Information


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