The document provides an overview of Six Sigma and its application to software development. It discusses India's rapidly growing economy and outlines the key drivers of growth, as well as some challenges. It also provides a snapshot of India's booming software industry, noting the industry's explosive export growth and large employment levels. Applying Six Sigma principles to software development can increase transparency, improve project estimations, and help meet deadlines and customer requirements.
The document discusses the business value of software quality and testing. It provides quantitative data showing that testing practices and certifying testing competencies can improve software project productivity and reduce costs. Good testing practices like using experienced test teams, certified testers, and formal test case design can increase productivity by up to 12%, while bad practices like relying only on developers for testing or using informal test designs can decrease productivity by up to 15%. The document also shows testing provides a positive return on investment by reducing defects found after release.
Tips and hints for an effective cosmic learning process gained from industria...IWSM Mensura
This document provides an overview of common issues encountered in COSMIC functional size measurement (FSM) trainings conducted with industrial professionals. It describes the diverse audience profiles and objectives of the trainings. The trainings involve both group theory sessions and individual practical exercises using company case studies. Some highlighted issues include difficulties understanding why FSM is a good estimation method, focusing on technical rather than requirements aspects, accounting for non-functional requirements, determining the appropriate level of granularity, and properly identifying data groups and data movement. The document aims to better understand challenges faced by trainees and improve the training approach.
This document discusses risks and requirements in new product development. It focuses on assessing risks early in the NPD process to avoid costly changes later. Several risk assessment tools are described, including FMECA which identifies potential failure modes and their effects. Requirements should balance technical, human, and economic factors. Both overspecifying and underspecifying requirements can increase risks. User needs must be understood and requirements specified clearly to guide design and development effectively.
Iwsm2014 measuring the functional size of mobile apps with cosmic (harold v...Nesma
This document proposes an approximate method for measuring the functional size of mobile apps using the COSMIC functional size measurement method. It begins with an overview of why measuring mobile apps is important and how they differ from other applications. It then provides a short introduction to the COSMIC method. The proposed method makes some basic assumptions about mobile app architecture and defines types of functional processes that can be quantified in COSMIC measurement units. The method aims to allow quick yet accurate sizing of mobile apps according to COSMIC standards.
From stki application development_research sendingPerfecto Mobile
This document summarizes the findings of an IT development survey conducted in Israel. Some key findings include:
- On average, Israeli companies spend about half their IT budgets on new development and half on maintenance. Definitions of development and maintenance varied between companies.
- Most companies spend the most on coding, with lesser amounts spent on requirements, design, and testing. Testing budgets are lower when testing is part of the development organization.
- Public and health sectors spend more on requirements while telecom spends more on testing. Various sectors use different project management methodologies.
- Common metrics tracked include resources, time, features, lines of code, and bugs. Deployment and automation metrics are not commonly tracked.
The document discusses project quality management for IT projects. It defines quality management and describes processes like quality planning, assurance, and control. It discusses tools for quality control like Pareto analysis, statistical sampling, Six Sigma, and testing. It summarizes contributions of quality experts like Deming and Juran. It describes how leadership, costs, standards, and maturity models relate to quality improvement for IT projects.
Mining Correlations of ATL Transformation and Metamodel MetricsDavide Ruscio
Model transformations are considered to be the “heart” and “soul” of Model Driven Engineering, and as a such, advanced techniques and tools are needed for supporting the development, quality assurance, maintenance, and evolution of model transformations. Even though model transformation developers are gaining the availability of powerful languages and tools for developing, and testing model transformations, very few techniques are available to support the understanding of transformation characteristics. In this talk, a process to analyze model transformations is discussed with the aim of identifying to what extent their characteristics depend on the corresponding input and target metamodels. The process relies on a number of transformation and metamodel metrics that are calculated and properly correlated. The talk discusses the application of the approach on a corpus consisting of more than 90 ATL transformations and 70 corresponding metamodels.
The slides have been used to present the paper "Mining Correlations of ATL Transformation and Metamodel Metrics" at MISE2015 workshop at ICSE2015 (http://goo.gl/UJ9nWC)
IRJET- Quality Improvement in Back Plate Assembly by using 7QC Tools of Quali...IRJET Journal
This document discusses using 7QC tools to improve quality in the back plate assembly process at a brake shoe manufacturing company. Some defects were occurring during back plate manufacturing, causing high rejection rates and customer complaints. The 7QC tools of flow chart, Pareto chart, cause-effect diagram, histogram, scatter diagram, control chart, and check sheet were implemented. These tools identified that denting, damage, and wrinkles accounted for most defects. A root cause analysis found issues with materials, equipment, and processes. Implementing the 7QC tools approach reduced defects and improved quality in back plate assembly.
The document discusses the business value of software quality and testing. It provides quantitative data showing that testing practices and certifying testing competencies can improve software project productivity and reduce costs. Good testing practices like using experienced test teams, certified testers, and formal test case design can increase productivity by up to 12%, while bad practices like relying only on developers for testing or using informal test designs can decrease productivity by up to 15%. The document also shows testing provides a positive return on investment by reducing defects found after release.
Tips and hints for an effective cosmic learning process gained from industria...IWSM Mensura
This document provides an overview of common issues encountered in COSMIC functional size measurement (FSM) trainings conducted with industrial professionals. It describes the diverse audience profiles and objectives of the trainings. The trainings involve both group theory sessions and individual practical exercises using company case studies. Some highlighted issues include difficulties understanding why FSM is a good estimation method, focusing on technical rather than requirements aspects, accounting for non-functional requirements, determining the appropriate level of granularity, and properly identifying data groups and data movement. The document aims to better understand challenges faced by trainees and improve the training approach.
This document discusses risks and requirements in new product development. It focuses on assessing risks early in the NPD process to avoid costly changes later. Several risk assessment tools are described, including FMECA which identifies potential failure modes and their effects. Requirements should balance technical, human, and economic factors. Both overspecifying and underspecifying requirements can increase risks. User needs must be understood and requirements specified clearly to guide design and development effectively.
Iwsm2014 measuring the functional size of mobile apps with cosmic (harold v...Nesma
This document proposes an approximate method for measuring the functional size of mobile apps using the COSMIC functional size measurement method. It begins with an overview of why measuring mobile apps is important and how they differ from other applications. It then provides a short introduction to the COSMIC method. The proposed method makes some basic assumptions about mobile app architecture and defines types of functional processes that can be quantified in COSMIC measurement units. The method aims to allow quick yet accurate sizing of mobile apps according to COSMIC standards.
From stki application development_research sendingPerfecto Mobile
This document summarizes the findings of an IT development survey conducted in Israel. Some key findings include:
- On average, Israeli companies spend about half their IT budgets on new development and half on maintenance. Definitions of development and maintenance varied between companies.
- Most companies spend the most on coding, with lesser amounts spent on requirements, design, and testing. Testing budgets are lower when testing is part of the development organization.
- Public and health sectors spend more on requirements while telecom spends more on testing. Various sectors use different project management methodologies.
- Common metrics tracked include resources, time, features, lines of code, and bugs. Deployment and automation metrics are not commonly tracked.
The document discusses project quality management for IT projects. It defines quality management and describes processes like quality planning, assurance, and control. It discusses tools for quality control like Pareto analysis, statistical sampling, Six Sigma, and testing. It summarizes contributions of quality experts like Deming and Juran. It describes how leadership, costs, standards, and maturity models relate to quality improvement for IT projects.
Mining Correlations of ATL Transformation and Metamodel MetricsDavide Ruscio
Model transformations are considered to be the “heart” and “soul” of Model Driven Engineering, and as a such, advanced techniques and tools are needed for supporting the development, quality assurance, maintenance, and evolution of model transformations. Even though model transformation developers are gaining the availability of powerful languages and tools for developing, and testing model transformations, very few techniques are available to support the understanding of transformation characteristics. In this talk, a process to analyze model transformations is discussed with the aim of identifying to what extent their characteristics depend on the corresponding input and target metamodels. The process relies on a number of transformation and metamodel metrics that are calculated and properly correlated. The talk discusses the application of the approach on a corpus consisting of more than 90 ATL transformations and 70 corresponding metamodels.
The slides have been used to present the paper "Mining Correlations of ATL Transformation and Metamodel Metrics" at MISE2015 workshop at ICSE2015 (http://goo.gl/UJ9nWC)
IRJET- Quality Improvement in Back Plate Assembly by using 7QC Tools of Quali...IRJET Journal
This document discusses using 7QC tools to improve quality in the back plate assembly process at a brake shoe manufacturing company. Some defects were occurring during back plate manufacturing, causing high rejection rates and customer complaints. The 7QC tools of flow chart, Pareto chart, cause-effect diagram, histogram, scatter diagram, control chart, and check sheet were implemented. These tools identified that denting, damage, and wrinkles accounted for most defects. A root cause analysis found issues with materials, equipment, and processes. Implementing the 7QC tools approach reduced defects and improved quality in back plate assembly.
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip LewXBOSoft
Accelerate your Agile success with in-depth research and smarter decisions. Michael Mah of QSM Associates shows you what it takes to find and utilize patterns of successful Agile development in this quarterly XBOSoft webinar.
Develop a Defect Prevention Strategy—or Else!TechWell
This document discusses the importance of defect prevention in software development. It notes that testing schedules are longer and more costly for low-quality projects compared to high-quality projects. The document advocates shifting investments from failure activities like testing to prevention activities earlier in the lifecycle like requirements reviews and static analysis. A framework is presented for establishing a defect prevention program that includes establishing teams, providing training, and measuring prevention efforts. Specific prevention techniques discussed include code reviews, static analysis, and addressing requirement ambiguities.
This document provides guidance on organizing test management during a feasibility study. It recommends taking an efficient test approach that begins with quick and dirty testing to get early results with minimal resources. This is followed by more detailed test planning and testing based on identified risks. The goal is to reduce project risks through a phased testing approach while balancing budget, planning and performance. Testing conclusions should identify any issues found to inform next steps. An efficient test approach aims to maximize learning while controlling costs and timing.
Workshop early or rapid cosmic fsm - Frank VogelezangIWSM Mensura
This document discusses various approximation approaches that can be used for early or rapid COSMIC functional size measurement (FSM). It outlines reasons why approximation may be needed, such as for speed, timing or quality reasons. It then describes established approximation approaches like average functional process, fixed size classification, equal size bands, average use case, Early & Quick (EASY), and EPCU. Newer approaches discussed include textual requirements and machine learning classification. The document emphasizes that approaches need local calibration. It provides an example application of various approaches to estimate the size of a web advice module, finding estimates ranging from 39.6 to 56.1 COSMIC function points.
The document discusses the importance of system requirements analysis as the first step in value-based system development. It outlines key aspects of defining requirements such as completeness, consistency, and validity. Requirements must fulfill stakeholder needs and create added value. The analysis process involves understanding user needs, developing functional and performance requirements, defining design constraints and interfaces, and analyzing and verifying solutions to select the optimal system concept.
IT Quality Testing and the Defect Management ProcessYolanda Williams
This document provides an overview of defect management processes. It discusses defining defects, defect prevention, discovery, resolution and process improvement. The key aspects covered are:
- Defining goals as preventing defects, early detection, minimizing impact and process improvement.
- Activities like root cause analysis, escape analysis and process metrics.
- The defect lifecycle of prevention, discovery, resolution and continuous improvement.
- Examples of defect analysis and status reporting including metrics like density, backlog and mean time to repair.
This document discusses the evolution of software metrics over time to measure quality as software has become more complex. It outlines how metrics have changed from measuring lines of code and function points to object-oriented and agile metrics that measure concepts like inheritance, cohesion, and velocity. The document also examines how process models like waterfall, spiral, and agile have influenced quality standards and the definition of new metrics. In summary, software metrics have evolved from size-based measures to more sophisticated metrics aligned with modern processes in order to more effectively measure quality attributes as software engineering has advanced.
StarWest 2012 - Agile Defect Management: Focus On PreventionDavid Jellison
Efficient agile organizations focus on defect prevention rather than downstream defect discovery, because discovering defects during or after testing adds to development costs. Delaying discovery and repair of defects can make an agile team feel like they are operating in a mini-waterfall. Sharing his experience with Scrum/ Kanban teams, Leveraging the lean concept of limiting work in progress, David Jellison describes how grouping defects into two major categories—work-in-progress defects and escaping defects—reduces development costs and improves reliability in the field. Dave illustrates how to manage problem discovery early and minimize the existence of escaping defects. Treating escaping defects as the exception rather than the norm results in a much smaller defect backlog and increased customer satisfaction. This approach encourages increased collaboration between quality engineers and developers, and shifts the focus of team measures from defect counts to product delivery velocity and cycle time, with increased confidence in quality as the work is completed.
1) Defect prevention involves logging, analyzing, and preventing defects to reduce costs.
2) The document discusses Syntel's defect prevention policies and processes, including logging defects, root cause analysis, and implementing prevention techniques.
3) Key activities include appointing defect prevention coordinators, conducting causal analysis, and sharing lessons between projects.
This is a free module from my course ISTQB CTAL Technical Test Analyst revised to 2012 syllabus. If you need full training feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
SigmaTron International is a full-service electronics manufacturing services provider with facilities in the US, Mexico, China, and Vietnam. They focus on providing highly customized service to companies while leveraging their global manufacturing footprint. SigmaTron serves diversified markets including aerospace/defense, appliance, consumer electronics, gaming, fitness, industrial electronics, medical/life sciences, semiconductor, telecommunications, and automotive. Their quality certifications include ISO 9001:2008 and AS9100C.
Michael Snyman - Software Test Automation Success TEST Huddle
EuroSTAR Software Testing Conference 2009 presentation on Software Test Automation Success by Michael Snyman. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Factors affecting innovation and competitiveness in Northern Iraq constructio...Sevar Dilkhaz
This presentation is about a master thesis subject for investigating factors affecting innovation and competitiveness in Northern Iraq construction industry in EMU , TRNC
The document discusses defect management processes. It defines defects, describes different types of defects and their severity. It outlines the key steps in a defect management process: testing for defects, logging defects found, investigating defects, prioritizing defect resolutions, correcting defects, and reporting resolved defects. Traceability from requirements to testing is important. Defect metrics can help improve processes by identifying where and how defects are introduced and resolved. Collaboration between developers, testers, and other roles is essential for effective defect management.
Cyndie Beacham has over 28 years of experience in IT testing, including 15 years experience managing tests and defects using tools like ALM Quality Center, ClearQuest, and Rally. She has worked as a test consultant, analyst, planner and manager for companies in various industries, helping to improve testing processes by creating test plans and cases, advising on requirements traceability, and producing defect analysis reports. Her experience spans testing types like system, integration, user acceptance, and regression testing.
IRJET-Identification of Factors Influencing Equipment Productivity in Constru...IRJET Journal
This document discusses a study that aimed to identify factors influencing equipment productivity in construction projects. A literature review was conducted to understand previous research on this topic. A questionnaire survey of 20 construction organizations was also carried out to collect data on factors affecting equipment productivity. The responses were analyzed using the Relative Importance Index method. The results showed that the major factor affecting equipment productivity is the lack of operator ability due to issues related to the operator/human. The study provides recommendations to improve equipment productivity in the construction industry.
An Investigation into the New Product Processdrpvkhatrissn
This study analyzed 252 new product projects across 123 companies to understand deficiencies in their new product development processes and the impact of different activities on project success. The researchers identified 13 key activities that comprise an effective process. They found that many companies omitted important activities or did not adequately perform preliminary market assessment, market research, and business analysis. Proficiency in initial screening, preliminary technical assessment, and product development were most strongly correlated with project success. The researchers conclude that companies need a standardized process model with discipline, resources, and a focus on the most impactful activities to improve new product outcomes.
Engineers: Apply Automation to Increase Quality, Speed to MarketApril Bright
We live in the age of machine learning, artificial intelligence and other automated systems. Why, then, are we performing tedious tasks that we can streamline during the product development phase? First, there is Design Verification testing. Second, there is Design Validation testing. Some of these tests use simple pass/fail attribute data, while others use continuous data. We will focus on ways to automate the analysis of that continuous data, which can ensure more accurate and timely results.
This document provides an overview of Six Sigma, including its history and development, key principles and goals, methodology processes, roles and team structure, metrics, statistical tools, and potential project types. Six Sigma aims to reduce defects through a data-driven DMAIC (Define, Measure, Analyze, Improve, Control) approach. It was pioneered by Motorola in the 1980s and later adopted by other large companies to drive process improvement. The document outlines the Six Sigma methodology and how it can be applied to any process to meet customer requirements and drive business results.
This document discusses quality management in software projects. It describes quality management as having four main components: quality planning, quality control, quality assurance, and quality improvement. It also discusses various quality management techniques like software reviews, formal inspections, defect amplification and removal models, and statistical software quality assurance approaches like six sigma. The document emphasizes that quality management is important for project success and reducing costs from software defects.
When Agile is a Quality Game Changer Webinar - Michael Mah, Philip LewXBOSoft
Accelerate your Agile success with in-depth research and smarter decisions. Michael Mah of QSM Associates shows you what it takes to find and utilize patterns of successful Agile development in this quarterly XBOSoft webinar.
Develop a Defect Prevention Strategy—or Else!TechWell
This document discusses the importance of defect prevention in software development. It notes that testing schedules are longer and more costly for low-quality projects compared to high-quality projects. The document advocates shifting investments from failure activities like testing to prevention activities earlier in the lifecycle like requirements reviews and static analysis. A framework is presented for establishing a defect prevention program that includes establishing teams, providing training, and measuring prevention efforts. Specific prevention techniques discussed include code reviews, static analysis, and addressing requirement ambiguities.
This document provides guidance on organizing test management during a feasibility study. It recommends taking an efficient test approach that begins with quick and dirty testing to get early results with minimal resources. This is followed by more detailed test planning and testing based on identified risks. The goal is to reduce project risks through a phased testing approach while balancing budget, planning and performance. Testing conclusions should identify any issues found to inform next steps. An efficient test approach aims to maximize learning while controlling costs and timing.
Workshop early or rapid cosmic fsm - Frank VogelezangIWSM Mensura
This document discusses various approximation approaches that can be used for early or rapid COSMIC functional size measurement (FSM). It outlines reasons why approximation may be needed, such as for speed, timing or quality reasons. It then describes established approximation approaches like average functional process, fixed size classification, equal size bands, average use case, Early & Quick (EASY), and EPCU. Newer approaches discussed include textual requirements and machine learning classification. The document emphasizes that approaches need local calibration. It provides an example application of various approaches to estimate the size of a web advice module, finding estimates ranging from 39.6 to 56.1 COSMIC function points.
The document discusses the importance of system requirements analysis as the first step in value-based system development. It outlines key aspects of defining requirements such as completeness, consistency, and validity. Requirements must fulfill stakeholder needs and create added value. The analysis process involves understanding user needs, developing functional and performance requirements, defining design constraints and interfaces, and analyzing and verifying solutions to select the optimal system concept.
IT Quality Testing and the Defect Management ProcessYolanda Williams
This document provides an overview of defect management processes. It discusses defining defects, defect prevention, discovery, resolution and process improvement. The key aspects covered are:
- Defining goals as preventing defects, early detection, minimizing impact and process improvement.
- Activities like root cause analysis, escape analysis and process metrics.
- The defect lifecycle of prevention, discovery, resolution and continuous improvement.
- Examples of defect analysis and status reporting including metrics like density, backlog and mean time to repair.
This document discusses the evolution of software metrics over time to measure quality as software has become more complex. It outlines how metrics have changed from measuring lines of code and function points to object-oriented and agile metrics that measure concepts like inheritance, cohesion, and velocity. The document also examines how process models like waterfall, spiral, and agile have influenced quality standards and the definition of new metrics. In summary, software metrics have evolved from size-based measures to more sophisticated metrics aligned with modern processes in order to more effectively measure quality attributes as software engineering has advanced.
StarWest 2012 - Agile Defect Management: Focus On PreventionDavid Jellison
Efficient agile organizations focus on defect prevention rather than downstream defect discovery, because discovering defects during or after testing adds to development costs. Delaying discovery and repair of defects can make an agile team feel like they are operating in a mini-waterfall. Sharing his experience with Scrum/ Kanban teams, Leveraging the lean concept of limiting work in progress, David Jellison describes how grouping defects into two major categories—work-in-progress defects and escaping defects—reduces development costs and improves reliability in the field. Dave illustrates how to manage problem discovery early and minimize the existence of escaping defects. Treating escaping defects as the exception rather than the norm results in a much smaller defect backlog and increased customer satisfaction. This approach encourages increased collaboration between quality engineers and developers, and shifts the focus of team measures from defect counts to product delivery velocity and cycle time, with increased confidence in quality as the work is completed.
1) Defect prevention involves logging, analyzing, and preventing defects to reduce costs.
2) The document discusses Syntel's defect prevention policies and processes, including logging defects, root cause analysis, and implementing prevention techniques.
3) Key activities include appointing defect prevention coordinators, conducting causal analysis, and sharing lessons between projects.
This is a free module from my course ISTQB CTAL Technical Test Analyst revised to 2012 syllabus. If you need full training feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
SigmaTron International is a full-service electronics manufacturing services provider with facilities in the US, Mexico, China, and Vietnam. They focus on providing highly customized service to companies while leveraging their global manufacturing footprint. SigmaTron serves diversified markets including aerospace/defense, appliance, consumer electronics, gaming, fitness, industrial electronics, medical/life sciences, semiconductor, telecommunications, and automotive. Their quality certifications include ISO 9001:2008 and AS9100C.
Michael Snyman - Software Test Automation Success TEST Huddle
EuroSTAR Software Testing Conference 2009 presentation on Software Test Automation Success by Michael Snyman. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Factors affecting innovation and competitiveness in Northern Iraq constructio...Sevar Dilkhaz
This presentation is about a master thesis subject for investigating factors affecting innovation and competitiveness in Northern Iraq construction industry in EMU , TRNC
The document discusses defect management processes. It defines defects, describes different types of defects and their severity. It outlines the key steps in a defect management process: testing for defects, logging defects found, investigating defects, prioritizing defect resolutions, correcting defects, and reporting resolved defects. Traceability from requirements to testing is important. Defect metrics can help improve processes by identifying where and how defects are introduced and resolved. Collaboration between developers, testers, and other roles is essential for effective defect management.
Cyndie Beacham has over 28 years of experience in IT testing, including 15 years experience managing tests and defects using tools like ALM Quality Center, ClearQuest, and Rally. She has worked as a test consultant, analyst, planner and manager for companies in various industries, helping to improve testing processes by creating test plans and cases, advising on requirements traceability, and producing defect analysis reports. Her experience spans testing types like system, integration, user acceptance, and regression testing.
IRJET-Identification of Factors Influencing Equipment Productivity in Constru...IRJET Journal
This document discusses a study that aimed to identify factors influencing equipment productivity in construction projects. A literature review was conducted to understand previous research on this topic. A questionnaire survey of 20 construction organizations was also carried out to collect data on factors affecting equipment productivity. The responses were analyzed using the Relative Importance Index method. The results showed that the major factor affecting equipment productivity is the lack of operator ability due to issues related to the operator/human. The study provides recommendations to improve equipment productivity in the construction industry.
An Investigation into the New Product Processdrpvkhatrissn
This study analyzed 252 new product projects across 123 companies to understand deficiencies in their new product development processes and the impact of different activities on project success. The researchers identified 13 key activities that comprise an effective process. They found that many companies omitted important activities or did not adequately perform preliminary market assessment, market research, and business analysis. Proficiency in initial screening, preliminary technical assessment, and product development were most strongly correlated with project success. The researchers conclude that companies need a standardized process model with discipline, resources, and a focus on the most impactful activities to improve new product outcomes.
Engineers: Apply Automation to Increase Quality, Speed to MarketApril Bright
We live in the age of machine learning, artificial intelligence and other automated systems. Why, then, are we performing tedious tasks that we can streamline during the product development phase? First, there is Design Verification testing. Second, there is Design Validation testing. Some of these tests use simple pass/fail attribute data, while others use continuous data. We will focus on ways to automate the analysis of that continuous data, which can ensure more accurate and timely results.
This document provides an overview of Six Sigma, including its history and development, key principles and goals, methodology processes, roles and team structure, metrics, statistical tools, and potential project types. Six Sigma aims to reduce defects through a data-driven DMAIC (Define, Measure, Analyze, Improve, Control) approach. It was pioneered by Motorola in the 1980s and later adopted by other large companies to drive process improvement. The document outlines the Six Sigma methodology and how it can be applied to any process to meet customer requirements and drive business results.
This document discusses quality management in software projects. It describes quality management as having four main components: quality planning, quality control, quality assurance, and quality improvement. It also discusses various quality management techniques like software reviews, formal inspections, defect amplification and removal models, and statistical software quality assurance approaches like six sigma. The document emphasizes that quality management is important for project success and reducing costs from software defects.
Soirée du Test Logiciel - Présentation de Kiuwan (Jack ABDO)TelecomValley
This document provides an overview of a company and its enterprise software analytics platform. The company was founded in 2008 and has headquarters in Orlando, Florida and Madrid, Spain. It has over 4000 users across 25 countries. The platform includes modules for code analysis, code security, architecture, life cycle management, and governance that help customers improve application quality, reduce risks and costs, and make better decisions about their software development.
This document provides an overview of Six Sigma and its application to software development. It discusses key Six Sigma concepts like DMAIC (Define, Measure, Analyze, Improve, Control), tools used in each phase, and how they can help improve processes and reduce defects in software development. It also covers process maturity models, different types of waste specific to software development, and how Six Sigma principles of data-driven problem solving can help organizations deliver higher quality software and improve customer satisfaction.
I am Mohsin Ali Student of Sofware Engineering. Software Engineering Sir give us these slides to read and learn from it. And these Slides are very interesting for Sofware Eng Students.
This presentation is for the personnel who are going to be a part of Six Sigma project as process owner or team member & need to know the basics.
The scope of this presentation is “Overview” & “Define” of Six Sigma.
The document discusses conventional software management and its challenges. It provides three key points:
1. Only 10% of software projects were delivered successfully on time and budget in the 1990s due to software development being unpredictable and management discipline being a bigger factor in success than technology.
2. The waterfall model was the conventional approach but had issues like late risk resolution, requirements-driven decomposition, and adversarial stakeholder relationships.
3. Modern practices from the 2000s onward used more repeatable processes, off-the-shelf tools, and commercial products for improved economics compared to custom approaches of the 1960-1990 period.
A CASE Lab Report - Project File on "ATM - Banking System"joyousbharat
A CASE Lab Report - Project File on "ATM - Banking System"
The software to be designed will control a simulated automated teller machine
(ATM) having a magnetic stripe reader for reading an ATM card, a keyboard and
display for interaction with the customer, a slot for depositing envelopes, a
dispenser for cash (in multiples of $20), a printer for printing customer receipts, and
a key-operated switch to allow an operator to start or stop the machine. The ATM
will communicate with the bank's computer over an appropriate communication
link. (The software on the latter is not part of the requirements for this problem.)
The document discusses performance testing and optimization for web and mobile applications. It emphasizes the importance of integrating performance testing into the development process through continuous performance integration. This includes performing load tests with each release to identify issues, monitoring real user behavior and performance in production, and using performance data to iteratively improve applications. The document also outlines best practices like keeping testing environments similar to production, understanding user scenarios, and investing in performance monitoring and research.
Engaging specialist testing partners who were focused on their industry and had deep domain expertise provided significant benefits to two organizations. In the first case, a financial services company saw faster knowledge transfer, 50% reduction in defects and associated costs, and cost savings of up to 74% from offshore work. The second case saw a cards software maker avoid penalties, reduce defects to under 5%, and realize 88% offshore work along with 50% savings on regression costs over time through continuous improvement initiatives. Both cases showed that collaborating with a dedicated and experienced testing partner optimized management decisions around software testing.
Lace project transforming workplace learning in manufacturing printableFabrizio Cardinali
LACE Project presentation on Manufacturing Training & Upskilling at the European Distance Education Conference in Zagreb, June 2014 by Fabrizio Cardinali, sedApta Group
Six Sigma is a data-driven approach and methodology for process improvement originally developed by Motorola. It aims to reduce defects and variation in manufacturing and business processes. The document discusses the history and key aspects of Six Sigma such as the DMAIC approach, tools used in each phase like process mapping, root cause analysis, and improvement techniques like 5S, poka-yoke, and FMEA. Implementing Six Sigma through the DMAIC approach can help organizations optimize processes and improve quality, productivity, and customer satisfaction.
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, S...RAKESH RANA
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, Selection and Adoption
PhD Defense, Göteborg, Sweden
Feb, 2015
Get full text of publication at:
http://rakeshrana.website/index.php/work/publications/
Understanding and Improving Software Productivityssuser2be5eb
The document discusses challenges in measuring and understanding software productivity. It reviews 30 studies of software productivity from the 1970s to early 2000s. Key findings include that most studies are inadequate due to poor measurement, productivity varies greatly between individuals and languages, and contradictory findings are common. Improving productivity requires understanding factors like development environment attributes, product attributes, and staff attributes. Moving forward, the document advocates for developing setting-specific theories of software production and using knowledge management approaches.
The document discusses career progression and development at Ticketmaster. It introduces a competency model to map skills and roles across the software development lifecycle. The model is based on the IEEE Software Engineering Competency Model framework and includes technical, professional, and behavioral skill levels. Career mapping helps individuals understand where they are, where they want to go, and the steps needed to get there with support from available resources.
Data Science: Good, Bad and Ugly by Irina KukuyevaData Con LA
Abstract:- As a data scientist, I get to see a broad spectrum of the 'good', 'bad', and 'ugly' implementations of engineering and data practices. I'd be happy to share my tips and experiences with the broader community: the do's and don'ts of working with data in production, for collaboration, and for getting actionable insights.
This presentation provides an example and specific sources for data to demonstrate measureable iprovments in productivity, quality and customer satisfaction.
The document provides an introduction to software engineering. It defines software engineering as an engineering discipline concerned with all aspects of software production. It discusses why software engineering is important given that errors in complex software systems can have devastating consequences, as shown through examples of software failures in air traffic control, satellite launches, and ambulance dispatch systems. The document also covers fundamental software engineering concepts like the software process, process models, and costs.
As companies around the world look to get a jump on AI efforts, there’s one major question: with dozens of potential AI use cases but limited resources, how can organizations prioritize the right projects?
Carefully selected and well-designed Enterprise AI projects facilitate faster and more efficient collaboration among AI scientists and engineers and ultimately help organizations set up for AI success. In this presentation we share a comprehensive framework for:
1) Choosing relevant projects: defining needs from business lines and cost/benefit analysis.
2) Advanced project scoping: aligning stakeholders, anticipating key steps, defining success metrics.
3) Operationalization of AI projects: challenges and best practices.
Kerala Engineering Architecture Medical is an entrance examination series for admissions to various professional degree courses in the state of Kerala, India. It is conducted by the Office of the Commissioner of Entrance Exams run by the Government of Kerala
Paleontology is the study of the history of life on Earth as based on fossils. Fossils are the remains of plants, animals, fungi, bacteria, and single-celled living things that have been replaced by rock material or impressions of organisms preserved in roc
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
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1. 1
AJAL JOSE AKKARA
ASSISTANT PROFESSOR
Dept: ELECTRONICS AND COMMUNICATION E N G I N E E R I N G
UNIVERSAL ENGINEERING COLLEGE
CURRENTLY PERSUING EXECUTIVE MBA @ IIM - kOZHIKODE
Six sigma and its application to software development
2. 2
Rapidly growing GDP of 7.5%-8%
Services sector has more than 50% weightage in GDP
Structural drivers for growth
Large population and favorable demographic trends
Skilled and well-educated labor force
Rising integration into global trade and investment
Improving macro policies and institutional framework
Various studies predict that India will become the 3rd
largest economy in the world by 2050
But there are challenges
Need for simplification of rules and regulations
Infrastructure
A brief look at the Indian Economy
Put the Right Information in the right Place. RIP it!
3. 3
Rapidly growing exports
1991 – US $128 million
2005 – US $17.2 billion
2008 (projected)- US$ 50 billion
Employs over 1,100,000 people
Over 400 Fortune 500 companies outsource their software development &
maintenance to India
Snapshot of the Indian Software Industry
(Source: NASSCOM)
Applying Six Sigma to software development makes product development and
other projects transparent to both management and customers. Transparency
requires an important cultural change. As a result, after transparency is
achieved, completing accurate project estimations while meeting both deadlines
and customer requirements becomes a lot easier.
4. 4
Liberalization of the economy & the seeds of IT boom in India
Abolition of licenses
Rationalization of taxes
Export thrust
Reduction of import tariffs
Abolition of wealth tax
Foreign exchange reforms
Systems Design and Development
1. Bottom-up
2. Top-down
3. Modular
X’s Step 1 Step 2 Step 3 Y’s
INPUTINPUT PROCESSPROCESS OUTPUTOUTPUT
5. 5
The Six Sigma Evolutionary Timeline
1736: French
mathematician
Abraham de
Moivre publishes
an article
introducing the
normal curve.
1896: Italian sociologist Vilfredo
Alfredo Pareto introduces the 80/20
rule and the Pareto distribution in
Cours d’Economie Politique.
1924: Walter A. Shewhart introduces
the control chart and the distinction of
special vs. common cause variation as
contributors to process problems.
1941: Alex Osborn, head of
BBDO Advertising, fathers a
widely-adopted set of rules for
“brainstorming”.
1949: U. S. DOD issues Military
Procedure MIL-P-1629, Procedures
for Performing a Failure Mode Effects
and Criticality Analysis.
1960: Kaoru Ishikawa
introduces his now famous
cause-and-effect diagram.
1818: Gauss uses the normal curve
to explore the mathematics of error
analysis for measurement, probability
analysis, and hypothesis testing.
1970s: Dr. Noriaki Kano
introduces his two-dimensional
quality model and the three
types of quality.
1986: Bill Smith, a senior
engineer and scientist introduces
the concept of Six Sigma at
Motorola
1994: Larry Bossidy launches
Six Sigma at Allied Signal.
1995: Jack Welch
launches Six Sigma at
GE.
6. 6
Time Line
1985 1987 1992 1995 2002
Dr Mikel J Harry wrote a
paper relating early
failures to Quality.
MOTOROLA Allied
Signal
General Electric
Johnson &
Johnson, Ford,
Nissan,
Honeywell
“[Six Sigma] is the most important training thing we have ever had. It’s better than
going to Harvard Business School.”
J.F. Welch
7. 7
Pilot's Six Sigma Performance
Width of Landing Strip
1/2 Width of
Landing strip
If pilot always lands
within 1/2 the
landing strip width,
we say that he has Six
Sigma capacity.
Six sigma will
be able to
help in
dealing with
all these
challenges to
8. 8
The Quality Chain
Project and IT development processes support the
project’s products
Customers may be internal or external
More efficient & effective use of resources
Minimize errors
Meet or exceed stakeholder expectations
More rework, waste, & errors
Negative impact on project goal &
objectives
Poor quality can be an embarrassment!
10. 10
Software Safety
♦ Software safety is a software quality assurance
activity that focuses on the identification and
assessment of potential hazards that may affect
software negatively and cause an entire system to
fail.
♦ If hazards can be identified early in the software
process, software design features can be specified
that will either eliminate or control potential
hazards.
12. 12
Problems with Software
and Sigma
♦Software generally has low product volume
compared with manufactured products
–But what if we measure units, tests, objects,
screens, functions, etc?
♦Software development process has very
high variance
–Does it need to?
–Is that necessarily bad?
13. 13
What Are These Changes?
datadata
otherother
documentsdocuments
codecode
TestTest
ProjectProject
PlanPlan
changes inchanges in
technical requirementstechnical requirements
changes inchanges in
business requirementsbusiness requirements
changes inchanges in
user requirementsuser requirements
software modelssoftware models
16. 16
Software Process Overview
♦ cross platform building
♦ Dashboards – continuous testing
♦ Mailing List – Developer communication
♦ Stored developer communication
♦ keep track of bugs and feature requests
18. 18
Eight Wastes of Software Development
♦ Partially Done Work
♦ Extra Processes
♦ Extra Features
♦ Task Switching
♦ Waiting
♦ Motion
♦ Defects
♦ Underutilization of Employees
Note: Seven Wastes of SD defined by Mary Poppendieck
19. 19
Monitor and Control
Quality Control Activities
Quality Control Activities should focus on the inputs
and outputs of each process. This can be viewed
in terms of the systems concept.
22. 22
Notes
Make any notes here:
.
Tip: First start with Outputs and Customers. Next set process boundaries and do the process map steps and then list inputs and suppliers
Start
End
Design and development
Coding
Testing
Analysing the requirements
Promotion
Maintenance and updating
SIPOC
INPUTSSUPPLIERS PROCESS OUTPUTS CUSTOMERS
Critical to Client MetricCritical to Client MetricRegion :
Product :
Number of processes :
Process :
FTE :
1. Org 1
2. Org 2
3. Org 3
4. Org 4.
*Interviews with
the clients,Mails
and Supporting
docs by the client.
•Requirement
Specification.
• The software
with forms and the
requirement
specification.
•The software,
Requirement
specifications,
supporting
documents and
Technical
documents.
•Software with
content,Client
mails mentioning
the competitors.
•Software/
application,
content/functions
to be updated,
re-Analysis
reports.
Completed
softwares
1. Org 5
2. Org 6
3. Org 7.
23. 23
Why the necessity of any Quality
Management System ?
♦ To get high Customer satisfaction index
♦ To maintain Competitive lead
♦ To adopt best quality practices
♦ Win global outsourcing contracts
Process reengineering goes a step further than quality assurance:
24. 24
Process Name:
W
ho
Step
Elapsed Time
As-Is Process Map
Analysing the
requirements
1st
week 2nd
week 3rd
week 4th
week 5th
week 6th
week 7th
week
1
2 Design and
development
3 Coding
4 Testing
5 Promotion
6 Maintenance
and updating
25. 25
Moments of Truth (MOT):
Any time a customer draws a critical judgement, positive or negative, about
the
service, based upon a service experience (or lack of it).
Value-Added (VA):
• Is the customer willing to pay for it?
• Is it done right the first time?
• Essential work that moves one step closer to the final product.
Value-Add Enabler: step that is required to do VA
Non-Value Add (NVA):
Steps considered non-essential to produce and deliver the
product or service
to meet the customer’s requirements. The customer is NOT
willing to pay for the step.
“As-Is” Process Map Analysis
1 2 3 5 6 74
%
TotalTotal
%
Steps
Process Step
Discussing
with
the
customer
about
the
require-
ments
Complete
analysis
Specification
building
Designing
Developing
Understanding
the design
(by
programmer)
Writing
the
Codes
(by
technical
writer)
Design
Materials
Production
Process
(Outputs)(Inputs)
Products
26. 26
“As-Is” Process Map Analysis
8 9 10 12 13 14 1511
%
TotalTotal
%
Steps
Process Step Intensive
testing
Complete
testing Making
an
advertising
campaign
Making
an
Attractive
website
as
to show
models
of
software
Providing
maintenance
Frequent
updating
Reanalysis
reports
Refreshing
the
website
with
the
new
updates
Development
ProcessArchitecture
Requirements
(Outputs)(Inputs)
Software
Applying to Software
27. 27
Moments of Truth (MOT):
Any time a customer draws a critical judgement, positive or negative, about the
service, based upon a service experience (or lack of it).
Value-Added (VA):
• Is the customer willing to pay for it?
• Is it done right the first time?
• Essential work that moves one step closer to the final product.
Value-Add Enabler: step that is required to do VA
Avg. Time (Mins)
Value-Added
Nonvalue-Added
– Failure Int. / Ext.
– Control/Inspection
– Delay
– Prep/Set-Up
– Move
Total
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total
%
Total
%
Steps
28. 28
Business Process Reengineering
“Reengineering is the fundamental rethinking and
radical redesign of business processes to achieve
dramatic improvements in critical, contemporary
measures of performance such as cost, quality,
service and speed *
* Hammer., Champy.J., (1993), Reengineering the Corporation: A Manifesto for Business Revolution., Harper Collins, London
$
Cost of
Poor
Quality
Process reengineering goes a step further than quality assurance:
31. 31
The BATON Solution
Vantage Service Manager
IT modeling, monitoring,
visualization and data
integration from Business
Perspective
Proven Methodology and
simplified data analysis
leveraging structured
methodology and extensive
intellectual property
Metrics Driven
Operational
Improvements
32. 32
OPEN TO THE AUDIANCE
♦ CAN WE INTRODUCE SIX SIGMA IN
EDUCATION ?
♦ IF SO , HOW ?
37. 37
To achieve six sigma:
6 Sigma -> 3.4 defects per million
5 Sigma -> 230 defects per million.
4 Sigma -> 6210 defects per million.
♦ In 1980’s, Motorola coined “six-sigma”
to describe their higher quality efforts
38. 38
Examples of the Sigma Scale
In a world at 3 sigma. . .
♦ There are 964 U.S. flight
cancellations per day.
♦ The police make 7 false arrests
every 4 minutes.
♦ In MA, 5,390 newborns are
dropped each year.
♦ In one hour, 47,283
international long distance calls
are accidentally disconnected.
In a world at 6 sigma. . .
♦ 1 U.S. flight is cancelled every
3 weeks.
♦ There are fewer than 4 false
arrests per month.
♦ 1 newborn is dropped every 4
years in MA.
♦ It would take more than
2 years to see the same number
of dropped international calls.
39. 39
Lean
♦ Originated in Toyota-
Toyota Production System
♦ Is not just about business
process review but a
methodology for changing
organisational culture
based on ‘systems
thinking’.
♦ Continuous
improvement ,Respect for
people
♦ Processes designed around
what the customer wants
♦ Identifies waste in a
process, efficiency gains
come from eliminating
waste.
♦ Software development
methodology
♦ Customer satisfaction by
rapid, continuous delivery
of useful software
♦ Working software is
delivered frequently
(weeks rather than months)
♦ Working software is the
principal measure of
progress
♦ Even late changes in
requirements are
welcomed
Agile Six Sigma
♦ Originated in Motorol
♦ A six-sigma process
is one in which
99.99966% of the
products
manufactured are
statistically
expected to be free
of defects
40. 4040
TAKING OF THE BLINDERS…
“In strategy it is important to see distant things as if
they were close and to take a distanced view of close
things”
Miyamoto Musashi
The Book of Five Rings
41. 4141
MURPHY’S LAW:MURPHY’S LAW:
What can go wrong, will go wrong. The possibility of something
going wrong is much greater than its going right. One can act upon a
problem, however small it is, only when the problem is first accepted.
Action presupposes a decision, a will, and the will can exists, only when
there is recognition.
KARMA:KARMA:
“Everything will be all right if my karma is good”. Karma does
not work that way, the theory of karma is not fatalism. It does not justify
passing the buck. It pins down the responsibility upon us.
so accept problem as it occurs.
42. 4242
“What ever a leader does, other people do. The very thing.
What ever the upholds as authority, an ordinary person
follows that”.
- BHAGAVATGITA.
KRISHNA TO ARUGUNA:KRISHNA TO ARUGUNA:
If you runaway from this battle field, all others will also
follow you. If you fail to do what is to be done, others will also do
exactly that, because you are leader, whether you like it or not.
- Set our Example.
43. 43
Data Driven Decision
Y = f(x)
• Y
• Dependant
• Output
• Effect
• Symptom
• Monitor
• X1…… Xn
• Independent
• Input-Process
• Cause
• Problem
• Control
44. 44
GE Six Sigma Economics
$0
$500
$1,000
$1,500
$2,000
$2,500
1996 1998 2000 2002
6 Sigma Projest Success
Cost
Benefit
(in millions)
Source: 1998 GE Annual Report, Jack Welch Letter to Share Owner and Employees -
progress based upon total corporation cost/ benefits attributable to Six Sigma.
45. 45
Two Processes
DMAIC
– Existing Process
Define
Measure
Analyze
Improve
Control
DMADV
– New Processes
– DFSS
Define
Measure
Analyze
Design
Verify
47. 47
Overview of Six Sigma
CHANGE
THE
WORLD
TRANSFORM THE
ORGANIZATION
GROWTH
COSTS OUT
PAIN, URGENCY, SURVIVAL
Six Sigma a
PHILOSOPHY
Six Sigma as a
Process
Six Sigma as a
Statistical Tool.
48. 48
6 Sigma Training
Master Black BeltMaster Black Belt
Mentor, Trainer, and Coach of Black Belts and other in
the Organization
Black BeltsBlack Belts
Leader of teams implementing the Six Sigma
Methodology on projects.
Green BeltsGreen Belts
Delivers successful focused projects using the Six Sigma
Methodology on tools.
Team Members/Team Members/
Yellow BeltsYellow Belts
Participates on and supports the project teams,
typically in the context of his or her existing
responsibilities.