This presentation based on a study :Who tested my software Testing as an organizationally cross-cutting activity :link :http://lib.tkk.fi/Diss/2011/isbn9789526043395/article6.pdf
representation & notes from quality engineer's view point
A RELIABLE AND AN EFFICIENT WEB TESTING SYSTEMijseajournal
To improve the reliability and efficiency of Web Software, the Testing Team should be creative and
innovative, the experience and intuition of Tester also matters a lot. And most often the destructive nature
of Tester brings reliable software to the user. Actually, Testing is the responsibility of everybody who is
involved in the Project. But, one’s personal curiosity and attention is more important than the various
techniques and tools available in the market for Web Testing due to the phenomena that Software Testing is
an art. In this study, we are actually discussing certain techniques and tools which can be helpful to
minimize bugs in Web Application and achieve reliability and efficiency to a certain level. Indeed, for
bettering the quality of Web Application, Testing may not be considered as the only effective method
because no one can certify that a system is bug-free. This paper presents some essential web testing
techniques, strategies, methods and tools which need to be focused on when performing Web Testing for
several web applications in order to achieve better results.
An Empirical Study of SQA Function Effectiveness in CMMI Certified Companies ...zillesubhan
The most vital component for any software development process is, “quality”, as it ensures the reliability and effectiveness of new software. Software Quality Assurance (SQA) techniques as well as a standardized qualitative metric known as Capability Maturity Model Integration (CMMI) are used to ensure this quality. The purposes of both the practices are same as both make efforts for end product’s quality. In spite of this, CMMI certified organizations have SQA function, but face a lot of issues, which resulted in lowering the quality of the products. Standards usually provide documentation, but SQA consider testing as a chief element and also documentation only for authentication and appraisals. The relationship of the SQA function with CMMI has not attended much in common literatures. This paper is centered on investigation conducted through data collection from diverse CMMI certified software development firm to check the practice of SQA function.
UNIT-I
Review of Software Engineering: Overview of software evolution, SDLC, Testing Process, Terminologies in
Testing: Error, Fault, Failure, Verification, Validation, Difference between Verification and Validation,
Test Cases, Testing Suite, Test Oracles, Impracticality of Testing All data; Impracticality of testing All
Paths. Verification: Verification methods, SRS verification, Source code reviews, User documentation
verification, and Software project audit, Tailoring Software Quality Assurance Program by Reviews,
Walkthrough, Inspection, and Configuration Audits.
UNIT–II (8)
Functional Testing: Boundary Value Analysis, Equivalence Class Testing, Decision Table Based Testing, Cause
Effect Graphing Technique. Structural Testing: Control flow testing, Path testing, Independent paths, Generation
of graph from program, Identification of independent paths, Cyclomatic Complexity, Data Flow Testing,
Mutation Testing.
UNIT-III (8)
Regression Testing: What is Regression Testing? Regression Test cases selection, reducing the number of test
cases, Code coverage prioritization technique. Reducing the number of test cases: Prioritization guidelines,
Priority category, Scheme, Risk Analysis.
Modern gadgets and machines such as medical equipments, mobile phones, cars and even military hardware run on software. The operational efficiency and accuracy of these machines are critical to life and the well being of modern civilization. When the software powering these machines fail it exposes life to danger and can cause the failure of businesses. In this paper, software quality measure is presented with the emphasis on improving standard and controlling damages that may result from badly developed application. The research shows various software quality standards and quality metrics and how they can be applied. The application of the metrics in measuring software quality in the research produced results which shows that the code metrics performance is better than the design metrics performance and points to a new way of improving quality by refactoring application code instead of developing new designs. This is believed to ensure reusability and reduced failure rate when software is developed
AN EMPIRICAL STUDY ON SOFTWARE TEST EFFORT ESTIMATIONLava Kafle
It is well known that software development projects tend to be based on over-optimistic cost estimates. Better
knowledge about software cost estimation is necessary to improve realism in software development project bids and budgets.
In my master thesis, I did a literature review that indicates that many research papers address software cost and effort
estimation, but none of the 150 papers I reviewed addressed the software test effort and/or cost estimation. We therefore
prepared a set of five research questions to address software test effort estimation, and conducted a case study and collected
empirical evidence from software development companies in Nepal. The minimum company size was 30 while the
maximum company size was 200. I performed the case study by conducting interviews with a set of structured
questionnaires. I compared the results obtained from the case study with the literature review and found that there exists
practice for empirical evidence based verification, validation, and testing cost/effort estimations. I also noted that test effort
estimation follow the same pattern as software development project estimates. My results show that 1) all the companies
prepare separate estimates for test effort, 2) empirical data is commonly used to estimate test effort, and 3) test effort
estimation error seems to be closely correlated with development effort estimation error. A company that had estimated total
of 3500 man-months had actually spent 4200 man-months implying 700 man-months of effort/cost overruns to complete the
project. Another company that projected testing effort of 100 man-hour actually ended up in 120 man-hour at the end of
project causing 20 man-hour effort/cost overruns. Therefore, our study indicates that test effort closely follows the
development patterns. However, more studies in this area are clearly needed.
A RELIABLE AND AN EFFICIENT WEB TESTING SYSTEMijseajournal
To improve the reliability and efficiency of Web Software, the Testing Team should be creative and
innovative, the experience and intuition of Tester also matters a lot. And most often the destructive nature
of Tester brings reliable software to the user. Actually, Testing is the responsibility of everybody who is
involved in the Project. But, one’s personal curiosity and attention is more important than the various
techniques and tools available in the market for Web Testing due to the phenomena that Software Testing is
an art. In this study, we are actually discussing certain techniques and tools which can be helpful to
minimize bugs in Web Application and achieve reliability and efficiency to a certain level. Indeed, for
bettering the quality of Web Application, Testing may not be considered as the only effective method
because no one can certify that a system is bug-free. This paper presents some essential web testing
techniques, strategies, methods and tools which need to be focused on when performing Web Testing for
several web applications in order to achieve better results.
An Empirical Study of SQA Function Effectiveness in CMMI Certified Companies ...zillesubhan
The most vital component for any software development process is, “quality”, as it ensures the reliability and effectiveness of new software. Software Quality Assurance (SQA) techniques as well as a standardized qualitative metric known as Capability Maturity Model Integration (CMMI) are used to ensure this quality. The purposes of both the practices are same as both make efforts for end product’s quality. In spite of this, CMMI certified organizations have SQA function, but face a lot of issues, which resulted in lowering the quality of the products. Standards usually provide documentation, but SQA consider testing as a chief element and also documentation only for authentication and appraisals. The relationship of the SQA function with CMMI has not attended much in common literatures. This paper is centered on investigation conducted through data collection from diverse CMMI certified software development firm to check the practice of SQA function.
UNIT-I
Review of Software Engineering: Overview of software evolution, SDLC, Testing Process, Terminologies in
Testing: Error, Fault, Failure, Verification, Validation, Difference between Verification and Validation,
Test Cases, Testing Suite, Test Oracles, Impracticality of Testing All data; Impracticality of testing All
Paths. Verification: Verification methods, SRS verification, Source code reviews, User documentation
verification, and Software project audit, Tailoring Software Quality Assurance Program by Reviews,
Walkthrough, Inspection, and Configuration Audits.
UNIT–II (8)
Functional Testing: Boundary Value Analysis, Equivalence Class Testing, Decision Table Based Testing, Cause
Effect Graphing Technique. Structural Testing: Control flow testing, Path testing, Independent paths, Generation
of graph from program, Identification of independent paths, Cyclomatic Complexity, Data Flow Testing,
Mutation Testing.
UNIT-III (8)
Regression Testing: What is Regression Testing? Regression Test cases selection, reducing the number of test
cases, Code coverage prioritization technique. Reducing the number of test cases: Prioritization guidelines,
Priority category, Scheme, Risk Analysis.
Modern gadgets and machines such as medical equipments, mobile phones, cars and even military hardware run on software. The operational efficiency and accuracy of these machines are critical to life and the well being of modern civilization. When the software powering these machines fail it exposes life to danger and can cause the failure of businesses. In this paper, software quality measure is presented with the emphasis on improving standard and controlling damages that may result from badly developed application. The research shows various software quality standards and quality metrics and how they can be applied. The application of the metrics in measuring software quality in the research produced results which shows that the code metrics performance is better than the design metrics performance and points to a new way of improving quality by refactoring application code instead of developing new designs. This is believed to ensure reusability and reduced failure rate when software is developed
AN EMPIRICAL STUDY ON SOFTWARE TEST EFFORT ESTIMATIONLava Kafle
It is well known that software development projects tend to be based on over-optimistic cost estimates. Better
knowledge about software cost estimation is necessary to improve realism in software development project bids and budgets.
In my master thesis, I did a literature review that indicates that many research papers address software cost and effort
estimation, but none of the 150 papers I reviewed addressed the software test effort and/or cost estimation. We therefore
prepared a set of five research questions to address software test effort estimation, and conducted a case study and collected
empirical evidence from software development companies in Nepal. The minimum company size was 30 while the
maximum company size was 200. I performed the case study by conducting interviews with a set of structured
questionnaires. I compared the results obtained from the case study with the literature review and found that there exists
practice for empirical evidence based verification, validation, and testing cost/effort estimations. I also noted that test effort
estimation follow the same pattern as software development project estimates. My results show that 1) all the companies
prepare separate estimates for test effort, 2) empirical data is commonly used to estimate test effort, and 3) test effort
estimation error seems to be closely correlated with development effort estimation error. A company that had estimated total
of 3500 man-months had actually spent 4200 man-months implying 700 man-months of effort/cost overruns to complete the
project. Another company that projected testing effort of 100 man-hour actually ended up in 120 man-hour at the end of
project causing 20 man-hour effort/cost overruns. Therefore, our study indicates that test effort closely follows the
development patterns. However, more studies in this area are clearly needed.
CTFL-001 ExamArea Exam contains all the questions and answers to pass CTFL-001 IT Exam on first try. The Questions & answers are verified and selected by professionals in the field and ensure accuracy and efficiency throughout the whole Product .You will not need to collect additional questions and answers from any other source because this package contains every detail that you need to pass CTFL-001 Test.
STRATEGIES TO REDUCE REWORK IN SOFTWARE DEVELOPMENT ON AN ORGANISATION IN MAU...ijseajournal
Rework is a known vicious circle in software development since it plays a central role in the generation of
delays, extra costs and diverse risks introduced after software delivery. It eventually triggers a negative
impact on the quality of the software developed. In order to cater the rework issue, this paper goes in depth
with the notion of rework in software development as it occurs in practice by analysing a development
process on an organisation in Mauritius where rework is a major issue. Meticulous strategies to reduce
rework are then analysed and discussed. The paper ultimately leads to the recommendation of the best
strategy that is software configuration management to reduce the rework problem in software development
Comparison between Test-Driven Development and Conventional Development: A Ca...IJERA Editor
In Software Engineering, different techniques and approaches are being used nowadays to produce reliable
software. The software quality relies heavily on the software testing. However, not all developers are concerned
with the testing stage of a software. This has affected the software quality and has increased the cost as well. To
avoid these issues, researchers paid a lot of effort on finding the best technique that guarantee the software
quality. In this paper we aim to explore the effectiveness of building test cases using Test-Driven Development
(TDD) technique compared with the conventional technique (Test-last). The comparison measures the
effectiveness of test cases with regard to number of defects, code coverage and test cases development duration
between TDD and Test-Last. The results has been analyzes and presented to support the best technique. On an
average, the effectiveness of test cases with regards to the selected quality factors in Test-Driven Development
(TDD) was better than the conventional technique (Test-last). TDD and conventional testing had nearly the
same percentage as result in code coverage. Moreover, the number of defects found and the test cases
development duration spent in TDD are high compared with Test-Last. The results led to suggest some
contributions and achievement that could be gained from applying TDD technique in software industry. As
using TDD as development technique in young companies can produce high quality software in less time.
An in depth study of mobile application testing in reference to real time sce...Amit Aggarwal
ABSTRACT
Mobile Application Testing has become an integral part of the quality assurance of modern software’s. Software Testing (Mobile Application Testing) is an important part of software engineering life cycle. Mobile Application Testing requires the use of a model to guide such efforts as test selection and test verification. Being given a large number of test cases can consume a great deal of time and resources, often ruling out their use in an interactive context.
This paper attempts to provide a comprehensive view of the field of Mobile Application Testing. The objective is to pull all the relevant issues into a unified context, although admittedly the overview is biased toward our research and expertise. In view of the vastness of the field, for each topic problems and approaches are only briefly tackled, with appropriate references provided to dive into them. In this work efforts are not confined specifically on providing a complete survey of Mobile Application Testing, rather to show how an unwieldy mix of theoretically and technical problems challenge software testers and to identify the gap exists between the state-of-the-art and of the practice.
Keywords:
Testing, Mobile Application Testing, Errors, Bugs
A study of various viewpoints and aspects software quality perspectiveeSAT Journals
Abstract The software quality is very important research of software engineering grown from the last two decades. The software engineering paradigm adopted by many organizations to develop the high quality software at affordable cost. The high quality software is considered as one of the key factor in the rapid growth of Global Software Development. The software metrics computes and evaluates the quality characteristics and used to take quantitative and qualitative decisions for risk assessment and reduction. The multiple stakeholders can view the software quality in multiple angles with various aspects. In this paper we present multiple views of the software quality with respect to various quality aspects. Key Words : Stakeholders, Functional aspect, Structural aspect, Process aspect, Metrics etc.
Everything You Need to Know About Unit Testing in Test Driven Development (TDD) with Case Studies!
TDD can be defined as a programming practice that instructs developers to write new code only if an automated test has failed. This avoids duplication of code.
The primary goal of TDD is to make the code clearer, simple and bug-free.
This PDF contains the case studies of Test Driven Development. Special thanks to the Experts- Jeff Langr, Frederico Gonçalves and J. B. Rainsberger for their valuable comments!
These case studies are the part of our blog on "How to do Unit Testing in Test Driven Development(TDD)?" which covers the following topics-
1) What is Unit Testing?
2) What is Test-Driven Development (TDD)?
3) Example of TDD with Unit Tests
4) Best Practices for Writing Unit Tests
5) Benefits of Unit Testing
6) Limitations of Unit Testing in the Traditional Approach
7) Case Studies of TDD
Blog Link-
https://www.simform.com/unit-testing-tdd/#casestudies
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...IJERA Editor
The growth of the software development industry approaches the new development methodologies to deliver the
error free software to its end-user fulfilling the business values to product. The growth of tools and technology
has brought the automation in the development and software testing process, it has also increased the demand of
the fast testing and delivery of the software to end customers. Traditional software development methodologies
to trending agile software development trend have brought new philosophy, dimensions, and processes having
invested new tools to make process easy. The Agile development (Scrum, XP, FDD, BDD, ATDD, ASD,
DSDM, Kanban, Crystal and Lean) process also faces the software testing model crises because of the fast
development of life cycles, fast delivery to end users without having appropriate test metrics which make the
software testing process slow as well as increase the risk. The analysis of the testing metrics in the software
testing process and setting the right lean test metrics help to improve the software quality effectively in agile
process.
Types of Software Testing: Definition, Objectives and AdvantagesSimform
Software testing is a crucial part of the development process. This presentation gives you a glimpse of different types of testing, their objectives, and their advantages.
This Presentation covers all the topic related like:
1.What is Software testing.
2.Error,Bug,Fault,Failure
3.Testing life cycle
4.Testing Methodologies
5.Testing level and so on.
in very concise and easy way which can be understood by all.
The result of applying a new testing model for improving the quality of softw...amiraiti
This paper shows the result of applying a new testing model which provides the know-how for performing the different activities covered in the test process for functional testing. It was noticed that the customer risks experienced during examining the accuracy of software used in different business sectors are not the main focus of the Quality Control team members. Moreover there are no standard testing techniques used by the team members during creating the test conditions and test cases, the result is a lot of reworks.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
Google uses crowd testing to test 14 of its software products. The main reason for this is the opportunity crowd sourced platforms give to test apps in real world conditions. Learn more with this PPT.
Definition of done: Working software in productionTSundberg
When you are done with the development, you need to deploy the result. This presentation describes some tooling we used at MTM to implement Continuous Deployment.
Health Datapalooza 2013: Blue Button Plus For Data Holders - Ryan PanchadsaramHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Unlocking Clinical & Claims Data by Giving Consumers Access: Blue Button Plus For Data Holders
Moderator:
Ryan Panchadsaram, Senior Advisor, White House Office of Science and Technology Policy
Speakers:
Kym Martin, Three-time cancer survivor
Jon R. Cohen, Chief Medical Officer, Quest Diagnostics
Craig Lipset, Head of Clinical Innovation, Pfizer
Mark Savage, Director of Health IT Policy and Programs, National Partnership for Women & Families
Consumers can be engaged, active participants in their own health and partners in reducing health care costs. But first, they need access to their own personal health information, and they need tools and services that use this information to help them make better choices. The panel will bring together payers, providers, and other data holders who will discuss the value proposition for sharing data with consumers. They will demonstrate Blue Button Plus, which makes it easy for data holders to share personal health information with consumers and their applications in a standardized, automated format.
CTFL-001 ExamArea Exam contains all the questions and answers to pass CTFL-001 IT Exam on first try. The Questions & answers are verified and selected by professionals in the field and ensure accuracy and efficiency throughout the whole Product .You will not need to collect additional questions and answers from any other source because this package contains every detail that you need to pass CTFL-001 Test.
STRATEGIES TO REDUCE REWORK IN SOFTWARE DEVELOPMENT ON AN ORGANISATION IN MAU...ijseajournal
Rework is a known vicious circle in software development since it plays a central role in the generation of
delays, extra costs and diverse risks introduced after software delivery. It eventually triggers a negative
impact on the quality of the software developed. In order to cater the rework issue, this paper goes in depth
with the notion of rework in software development as it occurs in practice by analysing a development
process on an organisation in Mauritius where rework is a major issue. Meticulous strategies to reduce
rework are then analysed and discussed. The paper ultimately leads to the recommendation of the best
strategy that is software configuration management to reduce the rework problem in software development
Comparison between Test-Driven Development and Conventional Development: A Ca...IJERA Editor
In Software Engineering, different techniques and approaches are being used nowadays to produce reliable
software. The software quality relies heavily on the software testing. However, not all developers are concerned
with the testing stage of a software. This has affected the software quality and has increased the cost as well. To
avoid these issues, researchers paid a lot of effort on finding the best technique that guarantee the software
quality. In this paper we aim to explore the effectiveness of building test cases using Test-Driven Development
(TDD) technique compared with the conventional technique (Test-last). The comparison measures the
effectiveness of test cases with regard to number of defects, code coverage and test cases development duration
between TDD and Test-Last. The results has been analyzes and presented to support the best technique. On an
average, the effectiveness of test cases with regards to the selected quality factors in Test-Driven Development
(TDD) was better than the conventional technique (Test-last). TDD and conventional testing had nearly the
same percentage as result in code coverage. Moreover, the number of defects found and the test cases
development duration spent in TDD are high compared with Test-Last. The results led to suggest some
contributions and achievement that could be gained from applying TDD technique in software industry. As
using TDD as development technique in young companies can produce high quality software in less time.
An in depth study of mobile application testing in reference to real time sce...Amit Aggarwal
ABSTRACT
Mobile Application Testing has become an integral part of the quality assurance of modern software’s. Software Testing (Mobile Application Testing) is an important part of software engineering life cycle. Mobile Application Testing requires the use of a model to guide such efforts as test selection and test verification. Being given a large number of test cases can consume a great deal of time and resources, often ruling out their use in an interactive context.
This paper attempts to provide a comprehensive view of the field of Mobile Application Testing. The objective is to pull all the relevant issues into a unified context, although admittedly the overview is biased toward our research and expertise. In view of the vastness of the field, for each topic problems and approaches are only briefly tackled, with appropriate references provided to dive into them. In this work efforts are not confined specifically on providing a complete survey of Mobile Application Testing, rather to show how an unwieldy mix of theoretically and technical problems challenge software testers and to identify the gap exists between the state-of-the-art and of the practice.
Keywords:
Testing, Mobile Application Testing, Errors, Bugs
A study of various viewpoints and aspects software quality perspectiveeSAT Journals
Abstract The software quality is very important research of software engineering grown from the last two decades. The software engineering paradigm adopted by many organizations to develop the high quality software at affordable cost. The high quality software is considered as one of the key factor in the rapid growth of Global Software Development. The software metrics computes and evaluates the quality characteristics and used to take quantitative and qualitative decisions for risk assessment and reduction. The multiple stakeholders can view the software quality in multiple angles with various aspects. In this paper we present multiple views of the software quality with respect to various quality aspects. Key Words : Stakeholders, Functional aspect, Structural aspect, Process aspect, Metrics etc.
Everything You Need to Know About Unit Testing in Test Driven Development (TDD) with Case Studies!
TDD can be defined as a programming practice that instructs developers to write new code only if an automated test has failed. This avoids duplication of code.
The primary goal of TDD is to make the code clearer, simple and bug-free.
This PDF contains the case studies of Test Driven Development. Special thanks to the Experts- Jeff Langr, Frederico Gonçalves and J. B. Rainsberger for their valuable comments!
These case studies are the part of our blog on "How to do Unit Testing in Test Driven Development(TDD)?" which covers the following topics-
1) What is Unit Testing?
2) What is Test-Driven Development (TDD)?
3) Example of TDD with Unit Tests
4) Best Practices for Writing Unit Tests
5) Benefits of Unit Testing
6) Limitations of Unit Testing in the Traditional Approach
7) Case Studies of TDD
Blog Link-
https://www.simform.com/unit-testing-tdd/#casestudies
Introduction to Investigation And Utilizing Lean Test Metrics In Agile Softwa...IJERA Editor
The growth of the software development industry approaches the new development methodologies to deliver the
error free software to its end-user fulfilling the business values to product. The growth of tools and technology
has brought the automation in the development and software testing process, it has also increased the demand of
the fast testing and delivery of the software to end customers. Traditional software development methodologies
to trending agile software development trend have brought new philosophy, dimensions, and processes having
invested new tools to make process easy. The Agile development (Scrum, XP, FDD, BDD, ATDD, ASD,
DSDM, Kanban, Crystal and Lean) process also faces the software testing model crises because of the fast
development of life cycles, fast delivery to end users without having appropriate test metrics which make the
software testing process slow as well as increase the risk. The analysis of the testing metrics in the software
testing process and setting the right lean test metrics help to improve the software quality effectively in agile
process.
Types of Software Testing: Definition, Objectives and AdvantagesSimform
Software testing is a crucial part of the development process. This presentation gives you a glimpse of different types of testing, their objectives, and their advantages.
This Presentation covers all the topic related like:
1.What is Software testing.
2.Error,Bug,Fault,Failure
3.Testing life cycle
4.Testing Methodologies
5.Testing level and so on.
in very concise and easy way which can be understood by all.
The result of applying a new testing model for improving the quality of softw...amiraiti
This paper shows the result of applying a new testing model which provides the know-how for performing the different activities covered in the test process for functional testing. It was noticed that the customer risks experienced during examining the accuracy of software used in different business sectors are not the main focus of the Quality Control team members. Moreover there are no standard testing techniques used by the team members during creating the test conditions and test cases, the result is a lot of reworks.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
Google uses crowd testing to test 14 of its software products. The main reason for this is the opportunity crowd sourced platforms give to test apps in real world conditions. Learn more with this PPT.
Definition of done: Working software in productionTSundberg
When you are done with the development, you need to deploy the result. This presentation describes some tooling we used at MTM to implement Continuous Deployment.
Health Datapalooza 2013: Blue Button Plus For Data Holders - Ryan PanchadsaramHealth Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Unlocking Clinical & Claims Data by Giving Consumers Access: Blue Button Plus For Data Holders
Moderator:
Ryan Panchadsaram, Senior Advisor, White House Office of Science and Technology Policy
Speakers:
Kym Martin, Three-time cancer survivor
Jon R. Cohen, Chief Medical Officer, Quest Diagnostics
Craig Lipset, Head of Clinical Innovation, Pfizer
Mark Savage, Director of Health IT Policy and Programs, National Partnership for Women & Families
Consumers can be engaged, active participants in their own health and partners in reducing health care costs. But first, they need access to their own personal health information, and they need tools and services that use this information to help them make better choices. The panel will bring together payers, providers, and other data holders who will discuss the value proposition for sharing data with consumers. They will demonstrate Blue Button Plus, which makes it easy for data holders to share personal health information with consumers and their applications in a standardized, automated format.
Health Datapalooza 2013: Uses of CMS Data in Rapid-Cycle Innovation - Rocco P...Health Data Consortium
Health Datapalooza IV: June 3rd-4th, 2013
Uses of CMS Data in Rapid-Cycle Innovation
Moderator:
Kavita Patel, Managing Director for Clinical Transformation and Delivery, Brookings Institution
Speakers:
Rocco Perla, Director, Learning and Diffusion Group, Centers for Medicare & Medicaid Services
Hoangmai Pham, Director, Division of Accountable Care Organization Populations, Centers for Medicare & Medicaid Services
Will Shrank, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Harvard Medical School
Farzad Mostashari, National Coordinator for Health Information Technology (ONC), US Department of Health and Human Services
The rapid proliferation of health data and improved usability has led to a sea change in how new health programs are designed, implemented and evaluated and in the speed in which innovation can occur. In this session, officials from the Centers for Medicare & Medicaid Services and the Office of the National Coordinator for Health Information Technology will describe specific government programs or functions that rely on rapid use of data to support patient targeting, feedback and learning, and highlight developments in data use that will promote innovation to deliver higher quality care at lower costs to patients.
This session is eligible for continuing education credit.
Webinar Slides 'Met data-driven marketing naar een 360º klantbeeldMark Beekman
Marketing kan oneindig veel data over de doelgroep verzamelen en daarmee beter inzicht krijgen in hun wensen, behoeften en (toekomstige) gedrag. Maar welke data is hierbij relevant? En hoe bundelt en analyseert u deze data om tot een 360º klantbeeld te komen?
Treating CrossFit Athletes - Talk For APA Sports PhysiosAntony Lo
A simple presentation about how to treat CrossFit Athletes from a Physiotherapists / Physical Therapist's point of view. Included are what CrossFit is about, what it is not, some of the effects of CrossFit, What CrossFit Coaches (and athletes) want you to know and some clinical things you can do to help these athletes.
Top Software panies to Outsource.pdfTesting ComMindfire LLC
However, finding one good company is a constant concern as the demand for software testing specialists is rising, and many companies face a severe shortage of them. Getting started with a list of companies is just not the right way to do it. First, you must know how to begin your search for a company that meets your needs. Hence, unlike other blogs, we’ll help you get started on your search for the best testing companies to outsource.
In today’s global marketplace, successful companies must be able to integrate and quickly view quality audit information from their manufacturing sites all over the world. This strategic capability has become even more important as manufacturers have moved offshore and have become more complex. The value and immediacy of quality assurance data is a critical element to the survival of competitive manufacturing organizations. Software systems can address these issues.
Source:
Lyons Information Systems, Inc
http://www.lyonsinfo.com
Mobile Application Testing Company Challenges.pdfPuran Mehra
Mobile Testing Services Challenges
#1 Communication Issues
#2 Compatibility Issues
#3 Not Knowing when to Stop Testing
#4 Undefined Quality Standards
#5 Lack of Traceability between requirements and Test Cases
Browse official website https://www.crestechsoftware.com/
Software testing plays a crucial role in ensuring the quality and reliability of software applications. As technology continues to advance, it becomes increasingly important to stay up-to-date with the latest trends and statistics in the field of software testing. In this article, we will explore the top 20 software testing statistics and provide a brief overview of each point. These statistics shed light on the current state of quality assurance and offer insights into the challenges and advancements in software testing.
Agile Testing: Best Practices and Methodology Zoe Gilbert
Get more control and bug free code to ensure no crash in your application, employ agile testing which restricts your testing efforts for repetitive task. Read this blog to understand details for agile testing including all type of testing methods and best practices.
JUS 455 Final Project Milestone Two Guidelines and Rubric MoseStaton39
JUS 455 Final Project Milestone Two Guidelines and Rubric
Overview: This milestone will become the first draft for part of your final project, a larger case study ethical analysis. As the course progresses, your
understanding of these questions will increase.
For this assignment, answer these questions about the scenario you selected in Milestone One to address the following:
I. Scenario
Select one (1) of the scenarios and answer the following questions.
A. Identify the ethical dilemma raised by the facts and explain what the ethical dilemma is.
B. What makes this dilemma ethical? What ethics does this dilemma challenge?
C. Describe the factors that led to the dilemma. How can these factors inform your course of action?
D. What implications should be considered when determining your course of action? Why?
Guidelines for Submission: Your case study ethical analysis needs to be 1–2 pages in length, double-spaced, using 12-point Times New Roman font, and follow
APA guidelines.
Critical Elements Exemplary (100%) Proficient (85%) Needs Improvement (55%) Not Evident (0%) Value
Scenario: Ethical
Dilemma
Meets “Proficient” criteria and is
well qualified with concrete
examples
Identifies the ethical dilemma
raised by the facts, and explains
what the ethical dilemma is
Identifies the ethical dilemma
raised by the facts, but does not
explain what the ethical dilemma
is
Does not identify the ethical
dilemma raised by the facts
20
Scenario:
Ethical
Meets “Proficient” criteria and
demonstrates a nuanced
understanding of ethical
implications
Determines what makes the
dilemma ethical and what ethics
it challenges
Determines what makes the
dilemma ethical, but does not
address what ethics it challenges
Does not determine what makes
the dilemma ethical
20
Scenario:
Factors
Meets “Proficient” criteria and
describes specific instances
where factors can inform the
course of action
Describes factors that led to the
dilemma, and how factors can
inform a course of action
Describes factors that led to the
dilemma, but does not address
how factors can inform a course
of action
Does not describe factors that led
to the dilemma
20
Scenario:
Implications
Meets “Proficient” criteria and
supports response with specific
examples
Identifies implications that should
be considered when determining
a course of action, and defends
response
Identifies implications that should
be considered when determining
a course of action, but does not
defend response
Does not identify implications
that should be considered when
determining a course of action
20
Articulation of
Response
Submission is free of errors
related to citations, grammar,
spelling, syntax, and organization
and is presented in a professional
and easy-to-read format
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
Submission has major error ...
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2. Introduction
Motive :
Recognized disconnect between software testing research and industry
practice, and more studies are needed on understanding how testing is
conducted in real-world circumstances.
Objective:
Study is to provide empirical evidence on how testing involves different
groups of employees in varying organizational roles in software product
development companies
3. Participated companies
This work is an industrial case study of employees performing software
testing and reporting defects.
The study was performed in three successful medium-sized software
product companies.
They have chosen In terms of their maturity and product type: software
product companies with relatively mature products, which has a rich user
interface in terms of features and that is used by domain experts
4. Methodology
The research questions are as follows:
RQ1: How is testing organized in software product companies?
RQ2: What is valued in software testing by the employees in software
product companies?
RQ3: What are the organizational roles of the employees who test
software?
RQ4: What differences exist in the number, importance, and fix rates of
the reported defects based on these organizational roles?
5. Methodology
3.2 Case study method : The research was conducted in six
sequential phases:
1. initial analysis,
2. semi-structured interviews,
3. interview data analysis,
4. defect database analysis,
5. case description reviews
6. validating interviews
6. Methodology
The interviews were conducted with an interview guide approach with
questions such as:
‘‘Which employees test the product?,’’
‘‘What other duties do these employees have?,’’
‘‘What are the backgrounds of the employees who perform testing?,’’
‘‘What type of testing processes do you have?,’’
and ‘‘How is the defect database used?’’
8. 3.4 Defect databases and a framework for their analysis
the defect database used to record all defects or issues that were found in the
developed software products, except for those identified during the
development phases.
In each company , they classified employees who report defects, based on the
interviews and organizational charts, into six groups.
17. Discussion
RQ1: How is testing organized in software product companies?
companies B and C both viewed testing as a team effort and did not employ
specialized testers.
Company A, on the other hand, needed a testing group to ensure the quality of
internal mainline releases release.
Company B reported no problems with this approach because it released the
software every 2 months.
Company C, on the other hand, had experienced problems with a 6-month
release cycle when the testing was started and critical defects were discovered
too late, forcing the company to postpone releases.
18. RQ1: How is testing organized in software product companies?
Our results suggest that the existence of a test group is dependent on the
software product development model (e.g., periodic external releases vs.
customer projects) rather than solely upon company size
19. Discussion
RQ2: What is valued in software testing by the employees in software
product companies?
All of the companies seemed to value validation from the end users’
perspective. but had seen cases in which a feature was implemented
correctly, but it did not support the customer’s way of working.
Verification techniques and the detection of critical issues such as crashes
and incorrect calculations were considered to be highly important, but
such issues were so infrequent and often quickly detected that the
companies did not find them to be problematic.
20. Discussion
Verification techniques and the detection of critical issues such as crashes and
incorrect calculations were considered to be highly important, but such issues
were so infrequent and often quickly detected that the companies did not find
them to be problematic.
Since other minor defects that are related to verification were not seen as a
top priority, it is clear that none of the companies was aiming for zero-defect
software. Instead, the aim was to provide value for their customers and users.
we learn that a deep knowledge of testing is needed in product organizations.
Our results support this statement.
21. Discussion
What are the organizational roles of the employees who test software?
Their roles varied across the organization from developers to sales, and
from managers to customer consultants.
We found a wide variation and considerable testing contribution by all of
the identified reporter groups.
The existence of a separate testing group or the organizational practice
of hiring specialized testing consultants did not show as a strong peak in
the testing contribution.
22. 5.1.4 RQ4: What differences exist in the number, importance, and fix rates
of the reported defects based on these organizational roles?Defects by
developers
have the
highest fix rate
Defects by
testing
have the
lowest fix
rate.
people with a
personal stake
of the
software
product has
greater
importance
23. Discussion
Conclusion
The responsibility for a larger set of customers through close customer
contact and product demonstration increases the personal stake and
defect importance.
24. Discussion
the interviewees agreed that, for example, the defects that were found by sales
personnel during the preparation of sales demos and materials tend to be highly relevant
from the customer and user viewpoint
Company C’s innovative solution for this situation was the demo-by customer practice.
In case B, the importance of defects was collaboratively agreed upon in a weekly
meeting. It is believed that this practice eliminated the perceived high defect
importance because the personal stake of an individual had a much more limited affect.
our results on defect databases are in line with observation : in addition to the databases,
one must understand the social, organizational, and technical context that is involved.
25. Hypotheses and additional findings
Developers report only defects they know will be fixed.
Manager A agreed with this theory and added that ‘‘it is also from their
teammates’ code where they are likely to find defects and whose defects
they are likely to fix.’’ also B and C
26. Hypotheses and additional findings
Developers find defects in their own code and are more likely to fix their
own defects than others.
Manager B agreed with this hypothesis and commented that, in the
majority of defects, the same developer both reported and fixed the
defect.
Manager C also agreed and pointed out that some developers report
issues directly for themselves and use the defect database as a task
list.
27. Hypotheses and additional findings
Developers work with the freshest code and are likely to find many defects
that must be fixed or make further development impossible.
Manager A thought that the latter part (make further development
impossible) was the best explanation of those that were offered.
Manager B did not find this explanation to be plausible,
manager C agreed but commented: ‘‘however, it is concerning that
others besides developers do not run the latest code frequently enough…
but, on the other hand, defects from customer service mostly originate
from customers and one would think that these defects would have a
higher priority.
28. Hypotheses and additional findings
Developers are friends with each other and are more likely to fix each
other’s defects.
None of the managers agreed with this hypothesis.
29. Internal competition and reliability of
the defect importance data
Our findings concerning defect data quality is that defect importance is
not only subjective, but it is also used as a mechanism for organizational
politics.
Both the subjectivity and this misuse of the importance data will be
difficult to reduce with instructions and convention
They also recommend A sufficient set of such automatic features in
mainstream defect databases could greatly improve the reliability of the
defect data.
30. Conclusions
Testing is not an action that is solely performed by specialists.
In all our cases, people in roles that vary from sales to software
development found a substantial number of defects and thus helped the
companies improve their product quality.
Two of the three companies deliberately did not hire specialized testers on
the payroll and wanted to continue their practice of testing as a team
effort.
instead of trying to collect more defect information through manual
means, in the future one should strive for automated defect data
collection as much as possible.
31. Some notes on the paper
The study is too limited on only three companies ; Although the number of
software products must be a factor to take into account to compare
between them.
The Analysis of defect’s data base is can be not the real situation while
many times the defect can be wrote by developer or tester but that
doesn’t mean they found it by them self's.
The software market gets complicated and more demanding &
depending on the team effort to test any software can be risk step to
decide by the company
32. Some notes on the paper
Performance Testing and concurrent user testing , load testing not
mentioned in this study; I believe it’s from the must important factors to
raise the importunity of the defects.
They omit the types of testing or the test practices that made in the three
companies ; by the groups specifically by developers or testing specializes.
Ex. company C highlighted close collaboration and frequent testing by the internal customer, and it obtained good results with the demo by-customer practice
Another example came from companies B and C, which both pointed out that many defects are detected when sales and consulting personnel prepare for a product demonstration of an upcoming release
in case A, the separate testing group’s defect numbers were only little higher than the next group (internal misc). This finding emphasizes that, in real software organizations, product testing is not a separated task of specialized testers.
that 4 out of 11 developers in case B and 8 out of 17 developers in case C had fixed at least half of the defects that they had reported themselves. The total numbers of defects fixed by the reporter in cases B and C were 104 (25% of the defects reported by developers) and 60 (21%), respectively. Therefore, it seems that the self-reported defects only partially explain the developers’ high fix ratios.