DELIVER QUALITY SOFTWARE PRODUCTS BY FOLLOWING SIMPLE STEPSTechahead Software
Outsourcing is cost-effective, and offshore software outsourcing, in particular, helps reduce development costs, which leads to a reduced market price and more competitiveness.
Vandana Bolar is seeking a leadership role where she can inspire her team to excel and contribute to business goals. She has 12 years of experience in project management, testing, and customer relationships. She currently leads a team of 6 and 80 engineers in test factory operations for a key client in the Netherlands.
Rcose challenges and benefits from using software analytics in softeamAlessandra Bagnato
Challenges and Benefits from Using Software Analytics in Softeam
RCoSE 2020
6th International Workshop on Rapid Continuous Software Engineering
July 1, 2020
In conjunction with ICSE 2020, Seoul, South Korea
The document is a resume for a candidate seeking a role as a Test Manager. The summary provides:
1) The candidate has over 7 years of experience in test and development and aims to ensure high quality applications by participating from requirements through production launch.
2) The candidate has experience managing functional testing for agile projects with a focus on order management and reporting. They also have basic performance testing skills.
3) The resume lists the candidate's technical skills and work experience managing testing for various clients such as Vodafone, AIG, and Microsoft. They have experience in testing ecommerce, insurance, and business intelligence applications.
This document discusses challenges with quality assurance in agile software development and proposes a solution called "digital testing using cognitive approach". Some key points:
1. Traditional QA faces challenges keeping up with agile development cycles and diverse technologies. QA needs to evolve to facilitate faster delivery.
2. The proposed solution involves automating testing, using predictive analytics, parallel testing across devices, and involving QA earlier in the development cycle.
3. A "cognitive approach" uses machine learning, AI, and predictive analysis to optimize testing efforts and provide insights. This helps address issues like inadequate coverage, performance bottlenecks, and late involvement of users and testers.
This document provides a summary of T.CHANDHRA SAYKHAR's professional experience. It includes over 7 years of experience as a tester and developer using the PEGA platform. As a tester, they have experience in requirements analysis, test case design, defect tracking, and test automation. As a developer, they have worked on designing data models, process flows, and user interfaces in PEGA. They have worked on projects in the banking, insurance, and healthcare industries for clients such as Allianz, Royal Bank of Canada, HealthNet, and Lloyds Banking Group.
This document provides a summary of T.CHANDHRA SAYKHAR's professional experience. It includes over 7 years of experience as a tester and developer using the PEGA platform. As a tester, they have experience with system, integration, functionality, and regression testing on web applications. As a developer, they have worked on designing data models, process flows, activities, and UI properties in PEGA. They have worked on multiple projects for clients like Allianz, Royal Bank of Canada, HealthNet, and Lloyds Banking Group focusing on areas like insurance, banking, and healthcare.
The document discusses testing and distribution of mobile apps. It provides an overview of:
1) A mobile maturity model that organizations can use to assess their mobile strategy and capabilities across different areas including testing.
2) The importance of testing throughout the app development lifecycle from definition to development to acceptance. It describes various testing types like unit, integration, and usability testing.
3) How automated testing can help with frequent verification but still requires manual testing. It provides examples of unit and functional automated tests.
4) The different phases of testing in a project including definition to set testing requirements, development where testing is integrated, and acceptance testing by the customer.
DELIVER QUALITY SOFTWARE PRODUCTS BY FOLLOWING SIMPLE STEPSTechahead Software
Outsourcing is cost-effective, and offshore software outsourcing, in particular, helps reduce development costs, which leads to a reduced market price and more competitiveness.
Vandana Bolar is seeking a leadership role where she can inspire her team to excel and contribute to business goals. She has 12 years of experience in project management, testing, and customer relationships. She currently leads a team of 6 and 80 engineers in test factory operations for a key client in the Netherlands.
Rcose challenges and benefits from using software analytics in softeamAlessandra Bagnato
Challenges and Benefits from Using Software Analytics in Softeam
RCoSE 2020
6th International Workshop on Rapid Continuous Software Engineering
July 1, 2020
In conjunction with ICSE 2020, Seoul, South Korea
The document is a resume for a candidate seeking a role as a Test Manager. The summary provides:
1) The candidate has over 7 years of experience in test and development and aims to ensure high quality applications by participating from requirements through production launch.
2) The candidate has experience managing functional testing for agile projects with a focus on order management and reporting. They also have basic performance testing skills.
3) The resume lists the candidate's technical skills and work experience managing testing for various clients such as Vodafone, AIG, and Microsoft. They have experience in testing ecommerce, insurance, and business intelligence applications.
This document discusses challenges with quality assurance in agile software development and proposes a solution called "digital testing using cognitive approach". Some key points:
1. Traditional QA faces challenges keeping up with agile development cycles and diverse technologies. QA needs to evolve to facilitate faster delivery.
2. The proposed solution involves automating testing, using predictive analytics, parallel testing across devices, and involving QA earlier in the development cycle.
3. A "cognitive approach" uses machine learning, AI, and predictive analysis to optimize testing efforts and provide insights. This helps address issues like inadequate coverage, performance bottlenecks, and late involvement of users and testers.
This document provides a summary of T.CHANDHRA SAYKHAR's professional experience. It includes over 7 years of experience as a tester and developer using the PEGA platform. As a tester, they have experience in requirements analysis, test case design, defect tracking, and test automation. As a developer, they have worked on designing data models, process flows, and user interfaces in PEGA. They have worked on projects in the banking, insurance, and healthcare industries for clients such as Allianz, Royal Bank of Canada, HealthNet, and Lloyds Banking Group.
This document provides a summary of T.CHANDHRA SAYKHAR's professional experience. It includes over 7 years of experience as a tester and developer using the PEGA platform. As a tester, they have experience with system, integration, functionality, and regression testing on web applications. As a developer, they have worked on designing data models, process flows, activities, and UI properties in PEGA. They have worked on multiple projects for clients like Allianz, Royal Bank of Canada, HealthNet, and Lloyds Banking Group focusing on areas like insurance, banking, and healthcare.
The document discusses testing and distribution of mobile apps. It provides an overview of:
1) A mobile maturity model that organizations can use to assess their mobile strategy and capabilities across different areas including testing.
2) The importance of testing throughout the app development lifecycle from definition to development to acceptance. It describes various testing types like unit, integration, and usability testing.
3) How automated testing can help with frequent verification but still requires manual testing. It provides examples of unit and functional automated tests.
4) The different phases of testing in a project including definition to set testing requirements, development where testing is integrated, and acceptance testing by the customer.
Nepolian Rajarathinam discusses systems integration accelerators for delivering infotainment systems. He argues that automakers need to adopt a proactive approach using incremental integration testing, simulation testing, and testing tools to help contain defects early and speed up development cycles. This will help infotainment teams address challenges like inconsistent connectivity, security issues, and an unstable ecosystem. The document provides examples of how processes and tools can help optimize testing efforts and reduce costs.
Platform Health Assessment at Department of Homeland Security Citizenship and...VMware Tanzu
SpringOne Platform 2019
Session Title: Platform Health Assessment at Department of Homeland Security Citizenship and Immigration Services
Speakers: Chris Saunders, Platform Architect Manager, Pivotal and Kelly Walsh, Engagement Director, Pivotal and Paul Beccio, Developer, DHS USCIS
Youtube: https://youtu.be/LZsqqSH9VbI
DevOps is a term for a combination of various software development practices including traditional software development and information technology operations. It shortens the systems development life cycle while delivering features, fixes, and updates. This is ensured by frequent and close alignments with business objectives. It comprises a vast set of cultural philosophies, practices and tools
to increase an organization's ability to deliver applications and services at high velocity.
This document gives insights how DevOps should be designed, what services they should offer, what organizational forms can be chosen (incl. their benefits), which aspects a DevOps governance should cover, how to assess and implement DevOps (DevOps transition), which technologies are important and how processes can be designed based on proven best practices.
Agenda DevOps best practice slide deck:
- DevOps Definition and Overview
- DevOps & Agile maturity
- DevOps Transition
- DevOps Technology
- DevOps Organization
Continuous Automation and its Impact on the CI_CD Pipeline.pdfkalichargn70th171
The CI/CD pipeline ensures software development teams reliably deliver code changes. CI is Continuous Integration, where developers merge code changes into a central repository, followed by automatic builds and tests. CD is either Continuous Delivery or Continuous Deployment, which are practices that automate the delivery of applications to selected infrastructure environments. Continuous Delivery automates the delivery process, while Continuous Deployment automates the production release.
DevOps is an essential link in software development that ensures continuous delivery with agility. It promotes an ecosystem where development teams, infrastructure teams, and quality assurance teams closely collaborate. For enterprises adopting DevOps, quality assurance teams must evolve their role from testing to quality engineering. This involves collaborating throughout the development lifecycle, automating testing and other processes, and providing continuous feedback. Key success factors for DevOps include leadership alignment, automation, identifying opportunities for efficiency gains, automated infrastructure management, and post-production monitoring.
The Boeing 787 Dreamliner faced delays in its first test flight and deliveries. Issues included incomplete work from contractors, a 25-day strike at Boeing in 2008, and problems with the software controlling the aircraft's braking system. Customers had penalty clauses in their contracts for late delivery, costing Boeing hundreds of millions of dollars. Further details on the software issues, their impacts, and Boeing's responses were not provided in the document.
The document discusses the DoD's Software Acquisition Pathway (SWP) which aims to accelerate software delivery through agile practices. It provides an overview of 40 SWP programs across different military services and notes their use of iterative development approaches. The document also highlights efforts to streamline processes, enable programs, and reform approaches to software acquisition across the DoD.
SoftExpert provides software solutions for advanced product quality planning (APQP) and product part approval processes (PPAP). The document discusses APQP and PPAP, including their purposes and focuses. It then describes SoftExpert's product lifecycle management software, which enables companies to manage all aspects of a product's lifecycle. The software includes features like workflows, bills of materials, documents, inspections, forms, and analytics. Finally, the document provides testimonials from customers who implemented SoftExpert's software to improve their product development and approval processes.
EMBEDDING PERFORMANCE TESTING IN AGILE SOFTWARE MODELijseajournal
This document discusses approaches to embedding performance testing within an agile software development model. It proposes shifting performance testing earlier in the development process ("shift left") through feature branch testing and automation. Automating performance tests within a continuous integration/continuous deployment pipeline can find issues sooner and speed delivery. Challenges include incomplete integration testing at the feature level and engagement between performance and development teams. The results of a proof of concept automating performance testing in a pipeline are presented.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
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Introduction: What is software engineering? Software Development Life Cycle, Requirements Analysis, Software Design, Coding, Testing, Maintenance etc.
Software Requirements: Functional and Non-functional requirements, User Requirements, System Requirements, Documentation of the software requirements.
Software Processes:
Process and Project, Component Software Processes.
Software Development Process Models.
Waterfall Model. Prototyping.
Iterative Development.
The RAD Model
The quality assurance checklist for progressive testingMaitrikpaida
Quality assurance (QA) is a strategic way of preventing mistakes and defects in developed products and avoiding problems when delivering products or services to customers. This defect prevention in quality assurance differs subtly from defect detection and rejection in quality control and has been referred to as a shift left since it focuses on quality earlier in the process
The Quality Assurance Checklist for Progressive TestingCygnet Infotech
This document discusses quality assurance testing for progressive applications. It defines quality assurance as preventing defects through early testing. Progressive testing tests application modules incrementally in a top-down, bottom-up, or hybrid approach. A quality assurance checklist should include unit, regression, performance, security, and installation testing to validate the application and ensure long-term functionality. Comprehensive testing provides benefits like reduced costs, improved customer satisfaction, and increased profits.
Best SaaS App Development Company In USAEmilyCarter82
The document outlines the typical process for developing a Software as a Service (SaaS) application. It describes 6 key phases: 1) discovery, where requirements are understood; 2) planning and design, where technical architecture and user interfaces are developed; 3) development, where coding occurs; 4) testing and quality assurance; 5) deployment to production; and 6) post-launch support and maintenance. Following this phased approach helps ensure SaaS apps are successfully built and deliver value to customers.
Il modo di fare software è cambiato, Digital.ai approda in Italia con Emerasoft.
Digital.ai è la nuova realtà sul panorama mondiale in grado di rispondere alle nuove esigenze di Aziende di tipo Enterprise che necessitano di monitorare e valorizzare ogni step del processo produttivo delle applicazioni.
Digital.ai raccoglie tecnologie leader di mercato, come:
Xebialabs - Arxan - Collabnet - Experitest - Numerify
Perché partecipare
Per conoscere l’innovativo approccio al Value Stream Management
Per scoprire da vicino le soluzioni leader di mercato che oggi fanno parte della compagine delle tecnologie della piattaforma
Infine per conoscere perché abbiamo deciso di portare Digital.ai sul mercato italiano
Scrivi a sales@emerasoft.com per saperne di più
Deliver Differentiating Apps – that Leverage the Mainframe – Faster with CA A...CA Technologies
As you strive to deliver market-leading features to applications that exist on distributed, mobile or mainframe platforms, time-to-market and quality are key measurements of success back to management. CA Application Lifecycle Conductor (CA ALC) helps to achieve success in a “bi-modal” world with Orchestration, Automation and Integration of products into a single view of activities with seamless workflow – throughout the entire application lifecycle. Come check out this session to learn more!
For more information, please visit http://cainc.to/Nv2VOe
Indus Aviation Systems provides aviation software development and mobility solutions. The document discusses Indus Aviation's confidential information policy and outlines their vision, domain focus in aviation, technology capabilities, and services offered. These include application development, product engineering, independent validation, and execution via agile, iterative or waterfall methodologies.
This document provides a summary of Brijesh Prabhakar's professional experience. It outlines his role as Practice Lead for Customer Solutions Practice Testing at Cognizant Technology Solutions, where he manages a portfolio of over $18M and 180 associates across several locations. Previous roles included Testing Practice Leader for a $15M portfolio of insurance testing accounts in the US. He has 13+ years of experience in testing, program management, and delivery leadership. Key skills include Java, Oracle, and testing tools like HP QualityCenter and Selenium.
Mobile Test Automation Case Study - Cigniti Helps Leading Fast Food Restauran...Cigniti Technologies Ltd
The Client is one of the leading fast food restaurant franchises in the world. It is the largest single-brand restaurant chain and the largest restaurant operator globally. The Client has main operations in the US with 5 regional centers in different continents as part of their growing international operations.
Nepolian Rajarathinam discusses systems integration accelerators for delivering infotainment systems. He argues that automakers need to adopt a proactive approach using incremental integration testing, simulation testing, and testing tools to help contain defects early and speed up development cycles. This will help infotainment teams address challenges like inconsistent connectivity, security issues, and an unstable ecosystem. The document provides examples of how processes and tools can help optimize testing efforts and reduce costs.
Platform Health Assessment at Department of Homeland Security Citizenship and...VMware Tanzu
SpringOne Platform 2019
Session Title: Platform Health Assessment at Department of Homeland Security Citizenship and Immigration Services
Speakers: Chris Saunders, Platform Architect Manager, Pivotal and Kelly Walsh, Engagement Director, Pivotal and Paul Beccio, Developer, DHS USCIS
Youtube: https://youtu.be/LZsqqSH9VbI
DevOps is a term for a combination of various software development practices including traditional software development and information technology operations. It shortens the systems development life cycle while delivering features, fixes, and updates. This is ensured by frequent and close alignments with business objectives. It comprises a vast set of cultural philosophies, practices and tools
to increase an organization's ability to deliver applications and services at high velocity.
This document gives insights how DevOps should be designed, what services they should offer, what organizational forms can be chosen (incl. their benefits), which aspects a DevOps governance should cover, how to assess and implement DevOps (DevOps transition), which technologies are important and how processes can be designed based on proven best practices.
Agenda DevOps best practice slide deck:
- DevOps Definition and Overview
- DevOps & Agile maturity
- DevOps Transition
- DevOps Technology
- DevOps Organization
Continuous Automation and its Impact on the CI_CD Pipeline.pdfkalichargn70th171
The CI/CD pipeline ensures software development teams reliably deliver code changes. CI is Continuous Integration, where developers merge code changes into a central repository, followed by automatic builds and tests. CD is either Continuous Delivery or Continuous Deployment, which are practices that automate the delivery of applications to selected infrastructure environments. Continuous Delivery automates the delivery process, while Continuous Deployment automates the production release.
DevOps is an essential link in software development that ensures continuous delivery with agility. It promotes an ecosystem where development teams, infrastructure teams, and quality assurance teams closely collaborate. For enterprises adopting DevOps, quality assurance teams must evolve their role from testing to quality engineering. This involves collaborating throughout the development lifecycle, automating testing and other processes, and providing continuous feedback. Key success factors for DevOps include leadership alignment, automation, identifying opportunities for efficiency gains, automated infrastructure management, and post-production monitoring.
The Boeing 787 Dreamliner faced delays in its first test flight and deliveries. Issues included incomplete work from contractors, a 25-day strike at Boeing in 2008, and problems with the software controlling the aircraft's braking system. Customers had penalty clauses in their contracts for late delivery, costing Boeing hundreds of millions of dollars. Further details on the software issues, their impacts, and Boeing's responses were not provided in the document.
The document discusses the DoD's Software Acquisition Pathway (SWP) which aims to accelerate software delivery through agile practices. It provides an overview of 40 SWP programs across different military services and notes their use of iterative development approaches. The document also highlights efforts to streamline processes, enable programs, and reform approaches to software acquisition across the DoD.
SoftExpert provides software solutions for advanced product quality planning (APQP) and product part approval processes (PPAP). The document discusses APQP and PPAP, including their purposes and focuses. It then describes SoftExpert's product lifecycle management software, which enables companies to manage all aspects of a product's lifecycle. The software includes features like workflows, bills of materials, documents, inspections, forms, and analytics. Finally, the document provides testimonials from customers who implemented SoftExpert's software to improve their product development and approval processes.
EMBEDDING PERFORMANCE TESTING IN AGILE SOFTWARE MODELijseajournal
This document discusses approaches to embedding performance testing within an agile software development model. It proposes shifting performance testing earlier in the development process ("shift left") through feature branch testing and automation. Automating performance tests within a continuous integration/continuous deployment pipeline can find issues sooner and speed delivery. Challenges include incomplete integration testing at the feature level and engagement between performance and development teams. The results of a proof of concept automating performance testing in a pipeline are presented.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Introduction: What is software engineering? Software Development Life Cycle, Requirements Analysis, Software Design, Coding, Testing, Maintenance etc.
Software Requirements: Functional and Non-functional requirements, User Requirements, System Requirements, Documentation of the software requirements.
Software Processes:
Process and Project, Component Software Processes.
Software Development Process Models.
Waterfall Model. Prototyping.
Iterative Development.
The RAD Model
The quality assurance checklist for progressive testingMaitrikpaida
Quality assurance (QA) is a strategic way of preventing mistakes and defects in developed products and avoiding problems when delivering products or services to customers. This defect prevention in quality assurance differs subtly from defect detection and rejection in quality control and has been referred to as a shift left since it focuses on quality earlier in the process
The Quality Assurance Checklist for Progressive TestingCygnet Infotech
This document discusses quality assurance testing for progressive applications. It defines quality assurance as preventing defects through early testing. Progressive testing tests application modules incrementally in a top-down, bottom-up, or hybrid approach. A quality assurance checklist should include unit, regression, performance, security, and installation testing to validate the application and ensure long-term functionality. Comprehensive testing provides benefits like reduced costs, improved customer satisfaction, and increased profits.
Best SaaS App Development Company In USAEmilyCarter82
The document outlines the typical process for developing a Software as a Service (SaaS) application. It describes 6 key phases: 1) discovery, where requirements are understood; 2) planning and design, where technical architecture and user interfaces are developed; 3) development, where coding occurs; 4) testing and quality assurance; 5) deployment to production; and 6) post-launch support and maintenance. Following this phased approach helps ensure SaaS apps are successfully built and deliver value to customers.
Il modo di fare software è cambiato, Digital.ai approda in Italia con Emerasoft.
Digital.ai è la nuova realtà sul panorama mondiale in grado di rispondere alle nuove esigenze di Aziende di tipo Enterprise che necessitano di monitorare e valorizzare ogni step del processo produttivo delle applicazioni.
Digital.ai raccoglie tecnologie leader di mercato, come:
Xebialabs - Arxan - Collabnet - Experitest - Numerify
Perché partecipare
Per conoscere l’innovativo approccio al Value Stream Management
Per scoprire da vicino le soluzioni leader di mercato che oggi fanno parte della compagine delle tecnologie della piattaforma
Infine per conoscere perché abbiamo deciso di portare Digital.ai sul mercato italiano
Scrivi a sales@emerasoft.com per saperne di più
Deliver Differentiating Apps – that Leverage the Mainframe – Faster with CA A...CA Technologies
As you strive to deliver market-leading features to applications that exist on distributed, mobile or mainframe platforms, time-to-market and quality are key measurements of success back to management. CA Application Lifecycle Conductor (CA ALC) helps to achieve success in a “bi-modal” world with Orchestration, Automation and Integration of products into a single view of activities with seamless workflow – throughout the entire application lifecycle. Come check out this session to learn more!
For more information, please visit http://cainc.to/Nv2VOe
Indus Aviation Systems provides aviation software development and mobility solutions. The document discusses Indus Aviation's confidential information policy and outlines their vision, domain focus in aviation, technology capabilities, and services offered. These include application development, product engineering, independent validation, and execution via agile, iterative or waterfall methodologies.
This document provides a summary of Brijesh Prabhakar's professional experience. It outlines his role as Practice Lead for Customer Solutions Practice Testing at Cognizant Technology Solutions, where he manages a portfolio of over $18M and 180 associates across several locations. Previous roles included Testing Practice Leader for a $15M portfolio of insurance testing accounts in the US. He has 13+ years of experience in testing, program management, and delivery leadership. Key skills include Java, Oracle, and testing tools like HP QualityCenter and Selenium.
Mobile Test Automation Case Study - Cigniti Helps Leading Fast Food Restauran...Cigniti Technologies Ltd
The Client is one of the leading fast food restaurant franchises in the world. It is the largest single-brand restaurant chain and the largest restaurant operator globally. The Client has main operations in the US with 5 regional centers in different continents as part of their growing international operations.
Similar to Process & Quality Assurance Strategy for Infotainment Platform_Suresh_v2.pptx (20)
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Process & Quality Assurance Strategy for Infotainment Platform_Suresh_v2.pptx
1. PROCESS & QUALITY ASSURANCE STRATEGY FOR
INFOTAINMENT PLATFORM TEAM
SURESH BABU SATHIYAKUMAR, HARMAN INTERNATIONAL INDIA PRIVATE LIMITED.
2. ABOUT SPEAKER
Around 15 years of experience in IT industry
Worked in various domains, started as BIOS developer in American Mega
Trends, Product Quality Manager in Huawei Telecom, Senior Principal
Engineer in Harman International.
Currently handling an Android IVI Platform team with 350+ members.
Certified iNTACS ASPICE Assessor, SAFe Agilist, Six Sigma Black Belt,
Agile Scrum Master
Published papers on Quality Assurance in Continuous Delivery in iEEE,
Springer Journals.
Active Members in BSPIN and ASQ, provided talks on Continuous
Delivery in Big Data, Industry 4.0 in Connected Cars.
https://www.linkedin.com/in/suresh-babu-sathiyakumar-638b0021/
3. INTRODUCTION TO IVI
This paper sharing is from IN VEHICLE INFOTAINMENT
(IVI) team which refers to Vehicle systems that combines
entertainment and information that are provided to
drivers and passengers. IVI systems uses Audio/Video
interfaces, touchscreens and keypads to provide these
types of services.
Some of the common tasks that can be performed using
IVI systems are managing and playing audio contents;
navigation for driving; providing entertainments such as
movies, Reading Incoming SMS and sending outgoing
SMS text messages; making phone calls, etc.
Pic source: https://www.allion.com/in-vehicle-infotainment-ivi-system-drives-
you-to-the-new-technology/
4. WHY PLATFORM
Platforms are building reusable assets which can be
customized to multiple products.
IVI Platform is required to resolve the following challenges:
OEMs are looking for ways to bring new features forward
without increasing system costs;
OEMs don’t have the budgets to create products from scratch at
the necessary pace;
In-vehicle systems need to be supported through the entire
lifecycle – not just to SOP;
The expertise required for next generation features does not
reside inside of most OEMs.
Pic source: https://www.appway.com/screen/appway-
platform-reusable-components
5. CHALLENGES
Challenge 1: The IVI Platform need to support
multiple System on Chip (SoC), multiple Android
Variants, and supporting different Customer
Programs.
Challenge 2: The Platform need to support
multiple customers and there are many
release commitments. Average need to
support 5-6 customer releases in a month.
Intel, MediaTek,
etc.
Intel, Qualcomm,
etc.
Intel, Qualcomm,
MediaTek, etc.
Qualcomm, etc.
6. CHALLENGES
Challenge 3: The team developing the IVI
platform is distributed across 5 different
Geographic locations working 200+ Engineers.
Timing and communication were always
challenging.
Challenge 4: Platform development is parallel
to Customer Program development, not able
assess the Release Readiness as Program
team integrates platform code based on
regular basis and few Customer Projects
request for daily tags.
7. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 1: Requirements Reuse analysis (RRA) to support multiple Programs
Fig: Gap Analysis
Platform thinking is the process of identifying and
exploiting similarities between products.
When any New program is awarded, clear gap analysis is
performed to check what all requirements developed in
the Platform can be reused in the new programs.
If the requirements are not already delivered in the
Platform but if it founds to be one of reusable asset, then
new requirements will be implemented in the platform.
For the existing features supported from Platform, reused
requirements will be configured as one of the supported
programs and will be tracked for testing scope if the HW
environment or SOC is different
8. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 2: Develop RoadMap and Business Need Features:
As we have Platform develops the reusable assets to multiple programs, Strategic
investments to be made in platform to develop the Roadmap or Business need features
based on the new trends, technologies and business needs.
These features may not have immediate customers but on a long run this can served to
multiple programs.
This can follow the Innovation process as mentioned in the below flow
9. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 3: Time boxed feature delivery through Platform Program Increments (PI):
Fig: PI-Sprint Cycle
Platform Backlog is prepared based on the
Platform requirements, Customer Program (CPM)
requirements.
Every year 6 Program Increments (PI’s) are
planned, where each PI comprises of 5 Sprints.
Requirements that will be implemented will be
taken from the Platform Backlog.
Customer Program milestones are aligned with
the Sprint releases. All the customer programs are
asked to align
10. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 4: Program Increments (PI) planning workshop to resolve
multi domain dependency:
Fig: PI Workshop
The Agile manifesto says “The most efficient and
effective method of conveying information to and
within a development is a face-face conversation”.
PI planning workshop helps to achieve this with a
face-to-face event, For the geographically distributed
domain teams, the event occur at multiple locations
by maintaining audio communications.
Business context in the PI, Team planning Breakouts –
where team discuss on the multi domain
dependencies and come with the sprint plan and
objectives.
The team breakout session in PI workshop helps
domain teams to identify dependencies and risks, For
Understanding complexities, For Optimizing efforts
and come with the plan.
11. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 4: Program Increments (PI) planning workshop to resolve
multi domain dependency:
Fig: PI Workshop
PI Planning workshop preparation activities are
planned in the last Sprint of previous PI which is
called as Hardening and Planning Sprint.
The focus of Hardening and Planning sprint will be
preparing the activities required for the next PI like
Dependency workshops, Architecture and Design,
Feature Grooming activities, and Fixing the defects
to improve the stability.
12. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 5: Software Branching Strategy:
As Platform supports multiple customer
programmer, it is very essential to maintain a
strong branching strategy.
As part of Branching strategy 2 code bases are
maintained. All the Platform requirements
implementation are maintained as ORANGE
LINE, where the Automotive specific features
are added on top of the Android pastry
releases from Google. All domain teams
working as part of platform team will be Check-
in into the ORANGE LINE platform code base.
ORANGE LINE platform code base is merged to
customer Programs GREEN LINE, which has the
Scope set by delta between Platform
Requirements and customer specs
Fig: Branching Strategy
13. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 6: Quality Assurance Strategy using PMVAi model:
Fig: PMVAi Quality Assurance Model
Quality assurance is very critical step in the
Platform development mode. As it supports
multiple customer programs, the quality assurance
needs to be flexible and meets the customer
expectations.
PMVAi mode is followed in the Quality assurance,
where all the Quality Assurance activities are
Planned, Monitored, made the Quality health
Visible to all the stakeholders and Act on the
improvements and make continuous
improvement. Finally the “i” aspect is to innovate
in each of this areas.
14. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 6: Quality Assurance Strategy using PMVAi model:
Fig: Feature Maturity
The Feature maturity must be evaluated continuously
at every state. Level of Maturity is defined against the
DONE criteria at every state. Starting from the
Requirements collection to till Launch to the
customer, every individual feature is evaluated on its
maturity.
The key aspects checked in the Level of Maturity for
each feature are: 1. Whether the Requirements
analysis/Grooming is completed, 2. System/Software
Requirement specification is available, 3. Architecture
update, High/Low level design is available, 4. Every
feature is scheduled, 5. Implementation – Peer/Expert
Review, Static code analysis, unit testing completed,
6. Integration Testing done verifying all the interfaces,
7. Software/System testing is completed.
15. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 7: Continuous Integration:
Fig: Feature Maturity
Continuous integration is effectively followed to strengthen
the gating. Gerrit system is used for Code review and after
the code review is passed with CR+1, CR+2 is provided and
then Domain expert code review completed DCR+1 is
provided.
Once the code review is completed, Smoke test cases and
Pre-Integration test cases are run and +1 is for provided
after which the code is merged to ORANGE LINE. The code
from the main line is further tested as part of Software and
System Testing.
Unit Test Tools GTest, JUNIT were used and GCov and
JaCoCo coverage tools are used to measure the unit test
coverage. Code Sonar static code analyzer used to verify the
MISRA coding rules. Pre-Commit hooks are developed to
make sure if there are any increase in the Code Sonar
warnings or if any Unit test case is failing then the check-in
will not be allowed.
16. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 8: Technical Debt Improvement:
Technical debt is the implied cost of additional rework
caused by choosing an easy solution now instead of
using a better approach that would take longer.
Technical Debt improvement is very important activity
in Platform development as the features and code is
reused by multiple products, any critical issue/defect
will high impact.
Typical Technical Debt improvement parameters can be:
Static code analysis (SCA) warnings, UT improvements
(Automation & Coverage), Functional Test automation
improvements, Code Refactoring (based on buggy
modules).
Technical Debt improvement activities are planned at
every Sprint and dedicated effort (~10%-15%). It is also
monitored as one of DONE criteria.
Pic courtesy: https://www.atlassian.com/blog/jira-software/3-steps-taming-
technical-debt
17. PROCESS AND QUALITY ASSURANCE STRATEGY
Strategy 9: Monitor the Reuse of Platform:
Pic: https://www.klipfolio.com/blog/kpi-metric-
measure
One of the success parameters of Platform is how much
the platform is reused, measure and monitor the Reuse
% of platform in the Products. The higher the platform
reused in the multiple products denotes the Platform is
intensively used.
Reuse can be monitored in terms of Feature Reuse -
ratio of number of features delivered by Platform out of
Total features delivered by Product. Ratio of Code reuse
from the Platform to Product can also be monitored.
18. PROCESS AND QUALITY ASSURANCE STRATEGY - BENEFITS
Reuse % is improving in products.
Able to support multiple variants (SOC’s, OS, Products)
from the Platform.
Voice of Customer is improved.
On time releases to Products/customers.
Improved the Quality by strong gating and Tech Debt
improvements.
ASPICE Level 2 certified, processes are managed effectively.
(SAFe agile practices are also implemented).