This talk on Configuration Engineering (= Configuration Management for Platform development) will discuss challenges, solution approaches and engineering experiences in invitro-diagnostic (IVD) product development. CE is an emerging discipline in various industries (such as medical devices, automotive, avionics/ space, …) which has developed from Configuration Management practices for single products. Further, examples presented will highlight the underlying CE concepts as well as address tool issues including observed benefits over the introduction.
S Ra P A Concurrent, Evolutionary Software Prototyping ProcessArnold Rudorfer
This paper defines a highly concurrent, software rapid prototyping
process that supports a sizable development team to develop a
high-quality, evolutionary software prototype. The process is particularly
aimed at developing user-interface intensive, workflow-centered
software. The Software Engineering Department and User Interface Design
Center at Siemens Corporate Research (SCR) have successfully
practiced this process in prototyping a healthcare information system
over the last year. We have evolved this agile, iterative software development
process that tightly integrates the UI designers and the software
developers with the prototype users (e.g., marketing staff), leading to efficient
development of business application prototypes with mature user
interfaces. We present the details of our process and the conditions that
make it effective. Our experience with this process indicates that prototypes
can be rapidly developed in a highly concurrent fashion given a
stable prototyping software architecture and access to readily available
domain knowledge.
This talk on Configuration Engineering (= Configuration Management for Platform development) will discuss challenges, solution approaches and engineering experiences in invitro-diagnostic (IVD) product development. CE is an emerging discipline in various industries (such as medical devices, automotive, avionics/ space, …) which has developed from Configuration Management practices for single products. Further, examples presented will highlight the underlying CE concepts as well as address tool issues including observed benefits over the introduction.
Configuration Engineering for Invitro-Diagnostic (IVD) Product DevelopmentArnold Rudorfer
This talk on Configuration Engineering (= Configuration Management for Platform development) will discuss challenges, solution approaches and engineering experiences in invitro-diagnostic (IVD) product development. CE is an emerging discipline in various industries (such as medical devices, automotive, avionics/ space, …) which has developed from Configuration Management practices for single products. Further, examples presented will highlight the underlying CE concepts as well as address tool issues including observed benefits over the introduction.
Using Evolutionary Prototypes To Formalize Product RequirementsArnold Rudorfer
Boundary objects are artifacts that facilitate
communication and interaction between people or groups
functioning in different domains. Software engineers, user
interface designers and usability specialists have different
domain knowledge, different terminologies, and shared
terms with different, distinct meanings. Boundary objects
can help assist the process of designing software by
providing a common interface for communication between
professionals in different domains. The Software
Engineering department and User Interface Design Center
at Siemens Corporate Research used an evolutionary
prototype as a boundary object to help elicit product
requirements from their client, Siemens Medical Solutions.
This enhanced communication with the client and between
groups at SCR. This paper describes how the evolutionary
prototype functioned as a boundary object and how it
allowed software engineering processes and humancomputer
interaction methods to proceed concurrently
without the need for well-defined interaction points.
Phase gate review development model august 8 2017 - dave litwillerDave Litwiller
Phase gate review R&D process model, including detailed description of phases and gates. Suitable for complex hardware, aerospace, embedded systems and architecture-intensive software development.
S Ra P A Concurrent, Evolutionary Software Prototyping ProcessArnold Rudorfer
This paper defines a highly concurrent, software rapid prototyping
process that supports a sizable development team to develop a
high-quality, evolutionary software prototype. The process is particularly
aimed at developing user-interface intensive, workflow-centered
software. The Software Engineering Department and User Interface Design
Center at Siemens Corporate Research (SCR) have successfully
practiced this process in prototyping a healthcare information system
over the last year. We have evolved this agile, iterative software development
process that tightly integrates the UI designers and the software
developers with the prototype users (e.g., marketing staff), leading to efficient
development of business application prototypes with mature user
interfaces. We present the details of our process and the conditions that
make it effective. Our experience with this process indicates that prototypes
can be rapidly developed in a highly concurrent fashion given a
stable prototyping software architecture and access to readily available
domain knowledge.
This talk on Configuration Engineering (= Configuration Management for Platform development) will discuss challenges, solution approaches and engineering experiences in invitro-diagnostic (IVD) product development. CE is an emerging discipline in various industries (such as medical devices, automotive, avionics/ space, …) which has developed from Configuration Management practices for single products. Further, examples presented will highlight the underlying CE concepts as well as address tool issues including observed benefits over the introduction.
Configuration Engineering for Invitro-Diagnostic (IVD) Product DevelopmentArnold Rudorfer
This talk on Configuration Engineering (= Configuration Management for Platform development) will discuss challenges, solution approaches and engineering experiences in invitro-diagnostic (IVD) product development. CE is an emerging discipline in various industries (such as medical devices, automotive, avionics/ space, …) which has developed from Configuration Management practices for single products. Further, examples presented will highlight the underlying CE concepts as well as address tool issues including observed benefits over the introduction.
Using Evolutionary Prototypes To Formalize Product RequirementsArnold Rudorfer
Boundary objects are artifacts that facilitate
communication and interaction between people or groups
functioning in different domains. Software engineers, user
interface designers and usability specialists have different
domain knowledge, different terminologies, and shared
terms with different, distinct meanings. Boundary objects
can help assist the process of designing software by
providing a common interface for communication between
professionals in different domains. The Software
Engineering department and User Interface Design Center
at Siemens Corporate Research used an evolutionary
prototype as a boundary object to help elicit product
requirements from their client, Siemens Medical Solutions.
This enhanced communication with the client and between
groups at SCR. This paper describes how the evolutionary
prototype functioned as a boundary object and how it
allowed software engineering processes and humancomputer
interaction methods to proceed concurrently
without the need for well-defined interaction points.
Phase gate review development model august 8 2017 - dave litwillerDave Litwiller
Phase gate review R&D process model, including detailed description of phases and gates. Suitable for complex hardware, aerospace, embedded systems and architecture-intensive software development.
To help corporations survive amidst worldwide
quality competition, the authors have focused on the strategic
development of a Higher-Cycled Product Design CAE Model
employing a Highly Reliable CAE Analysis Technology
Component Model. Their efforts are part of principle-based
research aimed at evolving product design and CAE development
processes to ensure better quality assurance. To satisfy the
requirements of developing and producing high quality products
while also reducing costs and shortening development times, the
effectiveness of this model was verified by successfully applying it
to the technological problems of loosening bolts and other
product design bottlenecks at auto manufacturers.
Anoushiravan Ghamsari, known as Anoush Ghamsari is a brilliant architect, the way he uses his creativity to create phenomenal concepts is beyond this world.
EFFICIENCY OF SOFTWARE DEVELOPMENT AFTER IMPROVEMENTS IN REQUIREMENTS ENGINEE...ijseajournal
In the past decade multiple challenges arose from the method of software development [4, 4]. As described by Davenport, the development process needs an overhaul [4, 4]. Different disciplines, like project management, requirements engineering, the development of code or quality assurance have been investigated intensively, in order to improve the productivity of development. To obtain valid results, the
overhaul needs to start with the refactoring of the right process at first. Often, it is sensible to start with such processes, which operate at the interface to the customer, because they are perhaps the most critical to an organization’s success [3, 270 – 271]. Mainly, software development consists of four sub processes:
requirements engineering, development, quality assurance and delivery. Requirements engineering and
delivery operate on the interface to the customers. Because of the fact that the analysis of requirements is
groundbreaking, we select this process as the starting point of a process innovation initiative. We analyse
the impact of requirements engineering in KANBAN development processes. Special emphasis is put on the
productivity of the overall development process, after a refactoring of requirements engineering.
To help corporations survive amidst worldwide
quality competition, the authors have focused on the strategic
development of a Higher-Cycled Product Design CAE Model
employing a Highly Reliable CAE Analysis Technology
Component Model. Their efforts are part of principle-based
research aimed at evolving product design and CAE development
processes to ensure better quality assurance. To satisfy the
requirements of developing and producing high quality products
while also reducing costs and shortening development times, the
effectiveness of this model was verified by successfully applying it
to the technological problems of loosening bolts and other
product design bottlenecks at auto manufacturers.
Anoushiravan Ghamsari, known as Anoush Ghamsari is a brilliant architect, the way he uses his creativity to create phenomenal concepts is beyond this world.
EFFICIENCY OF SOFTWARE DEVELOPMENT AFTER IMPROVEMENTS IN REQUIREMENTS ENGINEE...ijseajournal
In the past decade multiple challenges arose from the method of software development [4, 4]. As described by Davenport, the development process needs an overhaul [4, 4]. Different disciplines, like project management, requirements engineering, the development of code or quality assurance have been investigated intensively, in order to improve the productivity of development. To obtain valid results, the
overhaul needs to start with the refactoring of the right process at first. Often, it is sensible to start with such processes, which operate at the interface to the customer, because they are perhaps the most critical to an organization’s success [3, 270 – 271]. Mainly, software development consists of four sub processes:
requirements engineering, development, quality assurance and delivery. Requirements engineering and
delivery operate on the interface to the customers. Because of the fact that the analysis of requirements is
groundbreaking, we select this process as the starting point of a process innovation initiative. We analyse
the impact of requirements engineering in KANBAN development processes. Special emphasis is put on the
productivity of the overall development process, after a refactoring of requirements engineering.
Tooltech Global Engineering Pvt. Ltd, one of the first Indian Companies to set up operations in Scandinavia, is a leading Engineering Design and Simulation solutions provider serving marquee European clients.
People And Project Management Issues In Highly Time Pressured Rapid Prototypi...Arnold Rudorfer
This paper reports the experiences on people- and project management issues and how they
were successfully addressed to produce successive rapid deliveries of a medical healthcare
software prototype, the Soarian Financial product vision. The key practices of people and project
management are highlighted and concrete examples are provided to indicate how problems could
be resolved. Also, an outlook towards further research on people and project management issues
are presented in the context of evolutionary rapid development.
Software-intensive medizinische Systeme stehen in einem immensen Marktdruck. Während sie technologisch und hinsichtlich ihrer Sicherheit kompromisslos innovativ sein müssen, fordern die Krankenhäuser und auch Gesundheitskostenreformen eine immer kürzere Zykluszeit bei gleichzeitig angespannten Budgets. Traditionelle Entwicklungsprozesse, die Innovation und Qualität über einen schwerfälligen Prozess erreichten, sind nicht mehr zeitgemäß. Unsere Studien zeigen, dass in der Medizintechnik die Kosten für Nacharbeiten über den Produktlebenszyklus hinweg durch eine Verbesserung des Requirements Engineering um 30-50% gesenkt werden können. Requirements Engineering hat daher eine Schlüsselstelle als Erfolgsfaktor im Gesundheitswesen. Modellbasierte Vorgehensweisen unterstützt die durchgängige Entwicklung von Anforderungen bis zur Validierung. Durch den erhöhten Abstraktionsgrad zu Beginn bei der anforderungsentwicklung und Analyse sind Problembeschreibungen wesentlich klarer, einfacher und weniger redundant. Das erhöht nicht nur die Entwicklungsgeschwindigkeit, sondern sorgt innerhalb des Projektes für klar verstandende Domänenkonzepte. Modelle helfen bei der Durchgängigkeit von den systemanforderungen zu den Softwareanforderungen und dann zu Design und Validierung. Unser Beitrag zeigt Industrieerfahrungen bei Siemens Healthcare und bietet Orientierung bei der Umsetzung modellbasierter Entwicklung mit Fokus auf Requirements Engineering in medizinischen Systemen. Wir zeigen, wie Anforderungen so formalisiert werden, dass einerseits informell formulierte Anforderungen schrittweise in eine formalere Form kommen und während die Verständlichkeit der Anforderungen erhalten bleibt. Damit sind die Anforderungen präzise formuliert und werden zur Konsistenzsicherung und Vervollständigung genutzt, und sie können weiterhin von Stakeholder verschiedenem Hintergrund verstanden und validiert werden.
Medical device development is increasingly under market pressure to reduce deployment time in critical care facilities. Further, budget cuts in critical care facilities drive process innovation mostly realized through a holistic integration of IT systems across departments (hospital information systems, PACS and modalities). One important leverage to reduce development cycle time and to control complexities of software along the life-cycle is to use model-based engineering approaches. Such new technology adoption is still in its early adoption phase. Less than 10 percent of organizations (in the medical device industry) use such approaches. As more and more clinical workflows start to be IT-supported > 60% (end of the ’90 only ~ 30%), model-based engineering brings viable solutions to large software development efforts (> 5000 requirements) in multi product lines. This talk will discuss implemented model-based engineering in Requirements Engineering, Architecture Design as well as outline what is planned for the system test by means of an imaging platform project carried out in Siemens Healthcare. Our own experience and an underlying business case show concrete cost savings in the project planning, testing and complexity reduction of the imaging platform architecture using a model-based requirements engineering approach. Further, the current status and requirements of engineering tools will be discussed. The talk ends with best practices developed as well as key take aways.
Medical device development is increasingly under market pressure to reduce deployment in critical care facilities. Further, budget cuts in critical care facilities drive process innovation mostly realized through a holistic integration of IT systems (hospital information systems, PACS and modalities). One important leverage to reduce development cycle time is to introduce learn/ agile requirements engineering approaches. Traditional V-model based development processes cannot cope with the pressure from the market. Given that the content of software in medical device has risen bigger than 60% (compared to 30% by end of the ‘90s), lean/agile RE is becoming a paramount discipline for a development organization to remain competitive. Our own experience and an underlying business case show concrete cost savings in the project planning, testing and complexity reduction of the imaging platform architecture. A comparison of traditional to learn/ agile requirements engineering rounds up the picture including key takeaways.
Was macht Projekte erfolgreich? Warum scheitern Projekte und liefern nicht das, was ihre Auftraggeber erwarten? Nach wie vor ist unzureichendes Requirements Engineering der Hauptgrund für abgebrochene Projekte oder solche, die ihre Ziele nicht erreichen. Technologische Herausforderungen sind per se keine wichtigen Projektrisiken, ihr Management dagegen schon. Doch es gibt auch genügend Projekte, die ihre Ziele erreichen. Grund genug, sich mit den Praktiken des Requirements Engineering auseinanderzusetzen und wesentliche Praxistipps zu geben. Dieser Übersichtsbeitrag basiert teilweise auf dem Buch „Systematisches Requirements Engineering“, das im Dpunkt-Verlag erschienen ist [1]. Unsere Erfahrungen in verschiedenen Industrieprojekten aus einer Vielzahl von Systemen und Anwendungen zeigen, dass ein gutes Verständnis sowie eine systematische Behandlung von Anforderungen erfolgskritisch sind. Wir zeigen mit praktischen Beispielen und einem Praxisbeispiel aus ei-ner sicherheitsrelevanten Anwendung z. B. aus der Medizintechnik, wie Requirements Engineering konkret und erfolgreich umgesetzt wird. Damit können die Kosten für Nacharbeiten um ca. 30% gesenkt werden.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.