Testing is a process that verifies software or systems meet their requirements and are fit for purpose. It involves planning, preparing, and evaluating components and systems through activities like test planning, design, implementation, execution, and completion. Testing aims to prevent defects, verify requirements are fulfilled, validate stakeholder expectations are met, build confidence in quality, and find failures. While testing cannot prove absence of defects, it helps reduce risks and costs when done systematically throughout the development lifecycle. Key principles of testing include that exhaustive testing is impossible, early testing saves time and money, defects cluster together, and testing must be tailored to its context.
Arcadian Learning is an Industrial Training Company with 50 years of Industry Expertise on Planning, Implementation and Operation of the Networks Offering six months Industrial Training program on Cloud Computing, Telecom, Big Data and Application Development.
http://www.arcadianlearning.com/index.html
1) The document discusses software testing principles, lifecycles, limitations and methods. It describes the different phases of software testing like requirements study, test case design, test execution, test closure and test process analysis.
2) It also discusses different levels of testing including unit testing, integration testing, system testing and acceptance testing. Unit testing checks individual program modules, integration testing verifies interface connections, system testing checks full application functionality, and acceptance testing gets customer approval.
3) The document provides objectives and features of good test cases and objectives of a software tester. It also outlines principles of testing like testing for failures, starting early, defining test plans, and testing for valid and invalid conditions.
1. The document discusses various types of software testing including unit testing, integration testing, system testing, and acceptance testing. It explains that unit testing focuses on individual program units in isolation while integration testing tests modules assembled into subsystems.
2. The document then provides examples of different integration testing strategies like incremental, bottom-up, top-down, and discusses regression testing. It also defines smoke testing and explains its purpose in integration, system and acceptance testing levels.
3. Finally, the document emphasizes the importance of system and acceptance testing to verify functional and non-functional requirements and ensure the system can operate as intended in a real environment.
This document discusses software defects, their origins and effects. It defines a software defect as an error, flaw or fault that causes software to behave unexpectedly. Major categories of defects include errors of commission, omission, clarity and speed/capacity. Defects can range from minor bugs to serious issues that crash systems or enable security breaches. The document outlines strategies for preventing defects such as inspections and testing, and notes the best companies achieve 99% defect removal efficiency.
This document discusses software testing principles and concepts. It defines key terms like validation, verification, defects, failures, and metrics. It outlines 11 testing principles like testing being a creative task and test results needing meticulous inspection. The roles of testers are discussed in collaborating with other teams. Defect classes are defined at different stages and types of defects are provided. Quality factors, process maturity models, and defect prevention strategies are also summarized.
The document discusses software testing concepts including:
1. It defines key terms related to software defects such as errors, defects, failures, and faults.
2. It outlines the different phases of software testing from component/unit testing to acceptance testing and discusses principles of good testability.
3. It provides guidance on writing test plans and cases, including reviewing requirements, identifying test suites, and transforming use cases into test cases.
Software testing for project report .pdfKamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
Arcadian Learning is an Industrial Training Company with 50 years of Industry Expertise on Planning, Implementation and Operation of the Networks Offering six months Industrial Training program on Cloud Computing, Telecom, Big Data and Application Development.
http://www.arcadianlearning.com/index.html
1) The document discusses software testing principles, lifecycles, limitations and methods. It describes the different phases of software testing like requirements study, test case design, test execution, test closure and test process analysis.
2) It also discusses different levels of testing including unit testing, integration testing, system testing and acceptance testing. Unit testing checks individual program modules, integration testing verifies interface connections, system testing checks full application functionality, and acceptance testing gets customer approval.
3) The document provides objectives and features of good test cases and objectives of a software tester. It also outlines principles of testing like testing for failures, starting early, defining test plans, and testing for valid and invalid conditions.
1. The document discusses various types of software testing including unit testing, integration testing, system testing, and acceptance testing. It explains that unit testing focuses on individual program units in isolation while integration testing tests modules assembled into subsystems.
2. The document then provides examples of different integration testing strategies like incremental, bottom-up, top-down, and discusses regression testing. It also defines smoke testing and explains its purpose in integration, system and acceptance testing levels.
3. Finally, the document emphasizes the importance of system and acceptance testing to verify functional and non-functional requirements and ensure the system can operate as intended in a real environment.
This document discusses software defects, their origins and effects. It defines a software defect as an error, flaw or fault that causes software to behave unexpectedly. Major categories of defects include errors of commission, omission, clarity and speed/capacity. Defects can range from minor bugs to serious issues that crash systems or enable security breaches. The document outlines strategies for preventing defects such as inspections and testing, and notes the best companies achieve 99% defect removal efficiency.
This document discusses software testing principles and concepts. It defines key terms like validation, verification, defects, failures, and metrics. It outlines 11 testing principles like testing being a creative task and test results needing meticulous inspection. The roles of testers are discussed in collaborating with other teams. Defect classes are defined at different stages and types of defects are provided. Quality factors, process maturity models, and defect prevention strategies are also summarized.
The document discusses software testing concepts including:
1. It defines key terms related to software defects such as errors, defects, failures, and faults.
2. It outlines the different phases of software testing from component/unit testing to acceptance testing and discusses principles of good testability.
3. It provides guidance on writing test plans and cases, including reviewing requirements, identifying test suites, and transforming use cases into test cases.
Software testing for project report .pdfKamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
The document outlines a test plan for a Waste Management Inspection Tracking System (WMITS) software. It includes sections on test scope and objectives, interfaces to be tested, testing strategies including unit, integration, validation and high-order testing, a test schedule, and resources and staffing. The testing aims to minimize bugs and defects by thoroughly testing all components, functions, and the integrated system prior to release.
This document discusses various topics related to software testing including:
- The purpose of software testing is to ensure software works as expected and to detect errors. Testing involves executing a system under controlled conditions and evaluating results.
- There are two primary types of testing: black box testing which ignores internal mechanisms and focuses on inputs/outputs, and white box testing which considers internal mechanisms.
- Key stages of testing include unit testing, integration testing, functional/system testing, acceptance testing, regression testing, and beta testing. Regression testing verifies modifications have not caused unintended effects.
Learn software testing with tech partnerz 2Techpartnerz
This document discusses software testing phases and definitions. It begins with an overview of formal technical reviews during the requirements, design and code phases. It then defines and describes various testing phases like unit testing, integration testing, system testing, performance testing, regression testing, alpha testing, beta testing, and user acceptance testing. For each phase, it provides details on goals, methods, and definitions. It also discusses metrics for measuring test coverage, software maturity, and reliability.
Testing is important to ensure software quality by validating requirements and identifying bugs. There are different types of testing such as static and dynamic testing. Static testing involves manual reviews of documents while dynamic testing executes the code. Testing can be done from different perspectives such as black box, white box, and grey box. Different testing techniques are applied at various stages like unit, integration, and system testing. Testing also aims to validate functionality as well as non-functional aspects. Domain knowledge is critical for effective manual testing.
This document provides an overview of software testing fundamentals. It defines testing as executing software to find bugs and discusses why testing is necessary to ensure quality. It also covers causes of defects, different levels of testing from unit to acceptance, testing principles, and sample entry and exit criteria for different test stages. The goal of testing is to validate software meets requirements and works as expected while improving quality through the identification and fixing of defects.
Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
Manual testing interview question by INFOTECHPravinsinh
The document provides answers to various questions related to manual software testing practices. It discusses key concepts like priority and severity levels of defects, examples of high severity low priority defects. It also covers the basis for test case review, contents of requirements documents, differences between web and client-server application testing, defect life cycle, and techniques for test plan preparation. The document is a guide for manual testers that aims to enhance their understanding of software testing concepts and best practices.
Software Testing Interview Questions For Experiencedzynofustechnology
The document discusses various topics related to software testing interviews for experienced testers. It covers reliability testing, handling bugs, challenges of thorough testing, testing without complete requirements, differences between retesting and regression testing, challenges of software testing, types of functional testing, and more. Key points made include that it is impossible to thoroughly test a program due to subjective requirements and too many inputs/paths, the importance of regression testing when modules are updated, and differences between bugs, defects, and errors.
Software testing is the process of executing a program to identify errors. It involves evaluating a program's capabilities and determining if it meets requirements. Software can fail in many complex ways due to its non-physical nature. Exhaustive testing of all possibilities is generally infeasible due to complexity. The objectives of testing include finding errors through designing test cases that systematically uncover different classes of errors with minimal time and effort. Principles of testing include traceability to requirements, planning tests before coding begins, and recognizing that exhaustive testing is impossible.
The document provides an overview of reliability metrics, hazard analysis stages, critical systems development techniques, verification and validation processes, types of testing, software inspections, and static analysis. It discusses reliability metrics like availability, probability of failure on demand, and mean time to failure. It also outlines hazard identification, risk analysis, and fault tolerance techniques like fault recovery and fault-tolerant architectures.
The document discusses various aspects of software testing including the need for testing, types of testing, testing tools, the testing life cycle, and determining when to stop testing. It notes that software testing is a planned process used to identify correctness, completeness, security and quality of software. The testing life cycle involves requirements analysis, test planning, writing and reviewing test cases, bug logging and tracking, and closing and reopening bugs.
Slides about different types of testing including verification, validation and calibration. It is not same as regular PPT. I don't have conclusion part, because there's not always a hero in the story.
This document provides an overview of topics related to implementing a software system design and ensuring it works properly. It discusses documentation of the system and code, testing approaches like unit testing, integration testing, and validation testing. It also covers related tasks like installation, training users, and ongoing maintenance. The goal is to translate the design into a working software system that meets requirements and can be effectively used.
ISTQB Chapter 1 Fundamentals of Testingssuser2d9936
Software testing is a process of validating and verifying software to ensure it meets requirements and works as expected. It takes place throughout the software development lifecycle. Testing helps prevent defects from being introduced into code and catch any issues. Software testing is necessary because even with careful development, mistakes can be made, so independent testing helps identify flaws. The objectives of testing include finding defects, gaining confidence in quality, preventing defects, and ensuring requirements are met.
1. The document discusses various software testing concepts including objectives of testing, types of testing (static and dynamic), verification and validation, test case development, and quality assurance vs quality control.
2. Static testing involves checking code and documentation without executing code, while dynamic testing executes code to validate functionality and find defects.
3. The objectives of software testing are to find defects before release, verify software meets requirements, perform tests efficiently within budget and time constraints, and record errors to prevent future issues.
Exploratory testing is a hands-on approach where testers are involved in minimal planning and maximum test execution. The planning involves creating a test charter and objectives, while test design and execution are done in parallel without formally documenting test conditions, cases, or scripts. Some notes are taken during testing to produce a report afterwards. Use case testing identifies and executes the functional requirements of an application from start to finish using use cases. SDLC deals with software development/coding while STLC deals with validation and verification of software. A traceability matrix shows the relationship between test cases and requirements.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
This document provides an overview of software testing concepts and best practices. It defines key terms like errors, defects, and failures. It describes different testing approaches like black box and white box testing. It also outlines different testing levels from unit to system testing. The document emphasizes that testing aims to find defects, but it's impossible to test all possibilities. It stresses the importance of test planning, test cases, defect reports, and regression testing with new versions.
Manualtestinginterviewquestionbyinfotech 100901071035-phpapp01Anshuman Rai
The document provides information about manual software testing concepts including priority and severity levels, examples of high severity low priority defects, bases for test case review, contents of requirements documents, differences between web and client-server testing, and bug lifecycles. It also includes answers to common testing questions and examples of test cases for a basic calculator application.
The document outlines a test plan for a Waste Management Inspection Tracking System (WMITS) software. It includes sections on test scope and objectives, interfaces to be tested, testing strategies including unit, integration, validation and high-order testing, a test schedule, and resources and staffing. The testing aims to minimize bugs and defects by thoroughly testing all components, functions, and the integrated system prior to release.
This document discusses various topics related to software testing including:
- The purpose of software testing is to ensure software works as expected and to detect errors. Testing involves executing a system under controlled conditions and evaluating results.
- There are two primary types of testing: black box testing which ignores internal mechanisms and focuses on inputs/outputs, and white box testing which considers internal mechanisms.
- Key stages of testing include unit testing, integration testing, functional/system testing, acceptance testing, regression testing, and beta testing. Regression testing verifies modifications have not caused unintended effects.
Learn software testing with tech partnerz 2Techpartnerz
This document discusses software testing phases and definitions. It begins with an overview of formal technical reviews during the requirements, design and code phases. It then defines and describes various testing phases like unit testing, integration testing, system testing, performance testing, regression testing, alpha testing, beta testing, and user acceptance testing. For each phase, it provides details on goals, methods, and definitions. It also discusses metrics for measuring test coverage, software maturity, and reliability.
Testing is important to ensure software quality by validating requirements and identifying bugs. There are different types of testing such as static and dynamic testing. Static testing involves manual reviews of documents while dynamic testing executes the code. Testing can be done from different perspectives such as black box, white box, and grey box. Different testing techniques are applied at various stages like unit, integration, and system testing. Testing also aims to validate functionality as well as non-functional aspects. Domain knowledge is critical for effective manual testing.
This document provides an overview of software testing fundamentals. It defines testing as executing software to find bugs and discusses why testing is necessary to ensure quality. It also covers causes of defects, different levels of testing from unit to acceptance, testing principles, and sample entry and exit criteria for different test stages. The goal of testing is to validate software meets requirements and works as expected while improving quality through the identification and fixing of defects.
Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
Manual testing interview question by INFOTECHPravinsinh
The document provides answers to various questions related to manual software testing practices. It discusses key concepts like priority and severity levels of defects, examples of high severity low priority defects. It also covers the basis for test case review, contents of requirements documents, differences between web and client-server application testing, defect life cycle, and techniques for test plan preparation. The document is a guide for manual testers that aims to enhance their understanding of software testing concepts and best practices.
Software Testing Interview Questions For Experiencedzynofustechnology
The document discusses various topics related to software testing interviews for experienced testers. It covers reliability testing, handling bugs, challenges of thorough testing, testing without complete requirements, differences between retesting and regression testing, challenges of software testing, types of functional testing, and more. Key points made include that it is impossible to thoroughly test a program due to subjective requirements and too many inputs/paths, the importance of regression testing when modules are updated, and differences between bugs, defects, and errors.
Software testing is the process of executing a program to identify errors. It involves evaluating a program's capabilities and determining if it meets requirements. Software can fail in many complex ways due to its non-physical nature. Exhaustive testing of all possibilities is generally infeasible due to complexity. The objectives of testing include finding errors through designing test cases that systematically uncover different classes of errors with minimal time and effort. Principles of testing include traceability to requirements, planning tests before coding begins, and recognizing that exhaustive testing is impossible.
The document provides an overview of reliability metrics, hazard analysis stages, critical systems development techniques, verification and validation processes, types of testing, software inspections, and static analysis. It discusses reliability metrics like availability, probability of failure on demand, and mean time to failure. It also outlines hazard identification, risk analysis, and fault tolerance techniques like fault recovery and fault-tolerant architectures.
The document discusses various aspects of software testing including the need for testing, types of testing, testing tools, the testing life cycle, and determining when to stop testing. It notes that software testing is a planned process used to identify correctness, completeness, security and quality of software. The testing life cycle involves requirements analysis, test planning, writing and reviewing test cases, bug logging and tracking, and closing and reopening bugs.
Slides about different types of testing including verification, validation and calibration. It is not same as regular PPT. I don't have conclusion part, because there's not always a hero in the story.
This document provides an overview of topics related to implementing a software system design and ensuring it works properly. It discusses documentation of the system and code, testing approaches like unit testing, integration testing, and validation testing. It also covers related tasks like installation, training users, and ongoing maintenance. The goal is to translate the design into a working software system that meets requirements and can be effectively used.
ISTQB Chapter 1 Fundamentals of Testingssuser2d9936
Software testing is a process of validating and verifying software to ensure it meets requirements and works as expected. It takes place throughout the software development lifecycle. Testing helps prevent defects from being introduced into code and catch any issues. Software testing is necessary because even with careful development, mistakes can be made, so independent testing helps identify flaws. The objectives of testing include finding defects, gaining confidence in quality, preventing defects, and ensuring requirements are met.
1. The document discusses various software testing concepts including objectives of testing, types of testing (static and dynamic), verification and validation, test case development, and quality assurance vs quality control.
2. Static testing involves checking code and documentation without executing code, while dynamic testing executes code to validate functionality and find defects.
3. The objectives of software testing are to find defects before release, verify software meets requirements, perform tests efficiently within budget and time constraints, and record errors to prevent future issues.
Exploratory testing is a hands-on approach where testers are involved in minimal planning and maximum test execution. The planning involves creating a test charter and objectives, while test design and execution are done in parallel without formally documenting test conditions, cases, or scripts. Some notes are taken during testing to produce a report afterwards. Use case testing identifies and executes the functional requirements of an application from start to finish using use cases. SDLC deals with software development/coding while STLC deals with validation and verification of software. A traceability matrix shows the relationship between test cases and requirements.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
This document provides an overview of software testing concepts and best practices. It defines key terms like errors, defects, and failures. It describes different testing approaches like black box and white box testing. It also outlines different testing levels from unit to system testing. The document emphasizes that testing aims to find defects, but it's impossible to test all possibilities. It stresses the importance of test planning, test cases, defect reports, and regression testing with new versions.
Manualtestinginterviewquestionbyinfotech 100901071035-phpapp01Anshuman Rai
The document provides information about manual software testing concepts including priority and severity levels, examples of high severity low priority defects, bases for test case review, contents of requirements documents, differences between web and client-server testing, and bug lifecycles. It also includes answers to common testing questions and examples of test cases for a basic calculator application.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
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A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
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- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
3. Why testing is necessary?
A few questions:
1. Will we trust a medical device that is not
tested?
2. Will we use a car where the speed index is not
working properly?
3. Are we going to read e-books with a lot of
typos?
4. Are we going to live in an intelligent house
that cools instead of heating?
5. Do we use suspending applications on the
phone?
DO WE NEED TESTING?
3
5. What is Testing?
Testing
The process consisting of all lifecycle activities, both static and dynamic,
concerned with:
planning,
preparation,
and evaluation of a component or system and related work products
to determine that they satisfy speci ed requirements, to demonstrate that they are t for purpose and to detect defects.
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6. What is Testing?
Test activities:
Test planning,
Identifying features and sets of features to be
tested,
Designing test cases and sets of test cases,
Checking test results,
Creating a test summary report,
Checking entry and exit criteria,
Creating a test summary report,
Code and documentations review (static
testing).
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7. What is Testing?
Veri cation
Con rmation by examination and through
provision of objective evidence that speci ed
requirements have been ful lled.
Check that the application is according to the
speci cation.
Validation
Con rmation by examination and through
provision of objective evidence that the
requirements for a speci c intended use or
application have been ful lled.
Check that the application is correct
and client expectations have been ful lled.
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9. Objectives of testing
To prevent defects by evaluate work
products such as requirements, user stories,
design, and code,
To verify whether all speci ed requirements
have been ful lled,
To check whether the test object is complete
and validate if it works as the users and
other stakeholders expect,
To build con dence in the level of quality
of the test object,
To nd defects and failures,
To provide su cient information to
stakeholders to allow them to make
informed decisions,
To comply with contractual, legal, or
regulatory requirements or standards,
and/or to verify the test object’s compliance
with such requirements or standards.
Objectives of testing:
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10. Objectives of testing
The objectives of testing can vary, depending upon the context of the component or system being
tested, the test level, and the software development lifecycle model.
For example:
Test level Objective
Component testing Reducing risk.
Finding defects in the component.
Building con dence in the component’s quality.
Acceptance testing Validating that the system is complete and will work as expected.
Verifying that functional and non-functional behaviors of the system are as speci ed.
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12. Testing it is not debugging
Debugging is a development activity, that nds, analyzes, and xes such defects. Subsequent
con rmation testing checks whether the xes resolved the defects.
Debugging
The process of nding, analyzing and removing the causes of failures in a component or system.
testers --> TESTING
developers --> DEBUGGING
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15. Why is Testing Necessary?
Rigorous testing of components and systems, and their associated documentation, can help reduce
the risk of failures occurring during operation. When defects are detected, and subsequently xed,
this contributes to the quality of the components or systems.
In addition, software testing may also be required to meet contractual or legal requirements or
industry-speci c standards.
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17. Testing Contributions to Success
Ariane 5 received a navigation platform from Ariane 4 on a copy-paste basis.
Nobody cared that the overloads and ight path di ered signi cantly from those in
Ariane 4.
During the rst phases of ight (30 seconds after taking o from the Kourou ELA-3
platform), the autopilot began to rapidly adjust the position of the afterburner
nozzles to do the same with the main engine nozzle. The reason for this action was
incorrect data supplied by the navigation computer to the control module.
Where did the wrong data come from?
The remote control software was written in Ada. The main cause of the catastrophe was the integer
over ow.
The error occurred when an unprotected number conversion from 32 bits to 16 bits was performed.
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18. Testing Contributions to Success
For over 50 million people, these were three days of fear, panic
and a real life lesson. All through a certain server in a small control
room of the FirstEnergy corporation. Due to a minor error in the
software, a minor and harmless failure turned into an uncontrolled
energy disaster. As many as 265 power plants failed!
All of New York was plunged into darkness. Within moments,
millions of people lost access to electricity.
After the job queue was full, the primary server crashed, followed by the failover server. The
operators could not react because the error caused the delay in displaying the images on the control
screens from 2 seconds to 59! After a few alarming phone calls and the rst breakdowns, the
technicians, looking at the monitors, calmed the callers and informed that everything looked OK.
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19. Testing Contributions to Success
Using appropriate test techniques can reduce the frequency of such problematic deliveries, when
those techniques are applied with the appropriate level of test expertise, in the appropriate test
levels, and at the appropriate points in the software development lifecycle.
Examples include:
Having testers involved in requirements reviews or user story re nement could detect
defects in these work products.
Having testers work closely with system designers while the system is being designed can
increase each party’s understanding of the design and how to test it.
Having testers work closely with developers while the code is under development can increase
each party’s understanding of the code and how to test it.
Having testers verify and validate the software prior to release can detect failures that might
otherwise have been missed, and support the process of removing the defects that caused the
failures (i.e., debugging).
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21. Quality Assurance and Testing
Testing
Quality
The degree to which a component or system satis es the stated and implied needs of its various stakeholders.
Testing contributes to the achievement of quality in a variety of ways.
Test results provide information about software quality and give the possibility to measure
software quality..
Test results helps build con dence in the software quality,if detected few or no defects found.
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24. Errors / Defects / Failures
Error
A human action that produces an incorrect result.
Defect
An imperfection or de ciency in a work product where it does not meet its requirements or speci cations.
Failure
An event in which a component or system does not perform a required function within speci ed limits.
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25. Errors / Defects / Failures
ERRORS may occur for many reasons, such as: FAILURES caused due to:
Time pressure,
Human fallibility,
Inexperienced or insu ciently skilled project
participants,
Miscommunication between project
participants, including miscommunication
about requirements and design,
Complexity of the code, design, architecture,
the underlying problem to be solved, and/or
the technologies used,
Misunderstandings about intra-system and
inter-system interfaces, especially when such
intrasystem and inter-system interactions are
large in number,
New, unfamiliar technologies.
defects in the code,
environmental conditions (radiation,
electromagnetic elds, and pollution)
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26. Errors / Defects / Failures
Not all unexpected test results are failures:
False positives are reported as defects, but aren’t actually defects:
errors in the way tests were executed,
defects in the test data,
the test environment, or other testware.
False negatives are tests that do not detect defects that they should have detected
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28. Defects, Root Causes and E ects
AT&T network failure.
On January 15, 1990, there was a major failure of the telecommunications network in the United
States. As of 2:25 AM, the AT&T operations center in Bedminster began receiving warning messages
from various parts of the network. The failure proceeded rapidly. The problem turned out to be a
defect in the code intended to improve the speed of message processing.
The cost of this failure is estimated at $ 60 million.
E ects of AT&T failure are complaints from customers who could not make calls and use the
Internet.
Defects are BTS stations that are not working properly
Root causes was due to a problem in the code and incorrect use of the break instruction.
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30. Seven Testing Principles
1. Testing shows the presence of defects, not their absence
Testing can show that defects are present, but cannot prove that there are no defects. Testing
reduces the probability of undiscovered defects remaining in the software but, even if no defects are
found, testing is not a proof of correctness.
2. Exhaustive testing is impossible
Exhaustive testing
A test approach in which the test suite comprises all combinations of input values and preconditions.
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31. Seven Testing Principles
We want to test the requirement for two-step veri cation for our bank account.
we need to enter the phone number (9 - digits) and the PIN code (4 - digits) received from the bank
The login form looks like this
Can we test all combinations of inputs? If so, how way?
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32. Seven Testing Principles
Theoretically all combinations are possible ...?!
Phone number = 10 ^ 9 combination
PIN code = 10 ^ 4 combination
Phone number + PIN code = 10^9 * 10^4 = 10^13 combination
And ... do we still test everything ??
Try to calculate how long it would take for the test script that checks
one combination in 1 millisecond ;-).
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33. Seven Testing Principles
3. Early testing saves time and money
ASPA ... as soon as possible
Testing early in the software development lifecycle helps reduce or eliminate costly changes .
Reference: https://jasono orida.com/seven-software-testing-principles/
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34. Seven Testing Principles
Predicted defect clusters, and the actual observed defect clusters in test or operation, are an
important input into a risk analysis used to focus the test e ort
4. Defects cluster together
A small number of modules usually contains most of the defects discovered during pre-release
testing, or is responsible for most of the operational failures. We can use it here the Pareto principle
that 80% of the e ects are the result of 20% of causes.
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35. Seven Testing Principles
5. Beware of the pesticide paradox
If the same tests are repeated over and over again, eventually these tests no longer nd any new
defects.
You should review and update your tests regularly.
In some cases, such as automated regression testing, the pesticide paradox has a bene cial
outcome, which is the relatively low number of regression defects.
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36. Seven Testing Principles
Let's go back to the client's login form to the bank using the phone number and PIN code.
The login form looks like this:
When can the pesticide paradox occur with such simple testing?
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37. Seven Testing Principles
What if the phone number of another operator will not be recognized in system?
What if our number is inactive?
We will also not check whether another (default) PIN code prevents us from getting to system?
The pesticide paradox in this case can be associated with test data.
If we use the same phone number (694 733 000) and the same PIN code all the time
(1234) we ignore many of the conditions that may contribute to the failure.
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38. Seven Testing Principles
6. Testing is context dependent
Testing is done di erently in di erent contexts. For example, safety-critical industrial control
software is tested di erently from an e-commerce mobile app..
There will be a di erent approach to testing for each of the above systems.
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39. Seven Testing Principles
How we approach the tested system depends on many factors:
business requirements,
risk level,
lifecycle project (np. SCRUM, Model V),
system criticality.
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40. Seven Testing Principles
7. Absence-of-errors is a fallacy
It is a fallacy (i.e., a mistaken belief) to expect that just nding and xing a large number of defects
will ensure the success of a system.
Thoroughly testing all speci ed requirements and xing all defects found could still produce a
system that is di cult to use, that does not ful ll the users’ needs and expectations, or that is
inferior compared to other competing systems.
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43. Test Process in Context
Test process
The set of interrelated activities comprising of test planning, test monitoring and control, test analysis, test design, test
implementation, test execution, and test completion.
There is no one universal software test process, but there are common sets of test activities
without which testing will be less likely to achieve its established objectives
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44. Test Process in Context
Software development lifecycle model and
project methodologies being used,
Test levels and test types being considered,
Product and project risks,
Business domain,
Organizational policies and practices,
Organizational policies and practices,
Operational constraints, including but not
limited to:
Budgets and resources,
Timescales,
Complexity,
Contractual and regulatory requirements.
Contextual factors that in uence the test process for an organization, include, but are not limited to:
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45. Test Process in Context
It is very useful if the test basis (for any level or type of testing that is being considered) has
measurable coverage criteria de ned.
Key Perfomance Indicators (KPI)
A Key Performance Indicator is a measurable value that demonstrates how e ectively a company is achieving key
business objectives.
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46. Test Process in Context
KPIs in the test process, for example:
Average time to resolve failure / defect.
Average time from defect reporting to attempting a solution.
Percentage of requirements not completed on time.
Percentage of source code covered by tests (e.g. unit).
The number of critical defects to all defects.
Defects per release.
Percentage of hours devoted to xing defects to all time spent on code development.
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47. Test Process in Context
Software development lifecycle model -> Chapter 2.
The test process should be adapted to the software development lifecycle model.
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49. Test Process
Test Activities:
Test planning,
Test monitoring and control,
Test analysis,
Test design,
Test implementation,
Test execution,
Test completion.
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50. Test planning
RESPONSIBLE: Test manager
Detailed description of the test plan is presented in chapter 5.2.1
Purpose and Content of a Test Plan.
Create test plan:
Determining the scope, objectives, and risks
of testing,
De ning the overall approach of testing,
Scheduling of test analysis, design,
implementation, execution, and evaluation
activities,
Selecting metrics for test monitoring and
control,
Budgeting for the test activities,
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51. Test planning
Entry criteria (de nition of ready)
The set of conditions for o cially starting a de ned task.
Exit criteria (de nition of done)
The set of conditions for o cially completing a de ned task.
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52. Test analysis
RESPONSIBLE: Tester
During test analysis, the test basis is analyzed to identify testable features and de ne associated test
conditions.
Test analysis includes the following major
activities:
Analyzing the test basis appropriate to the
test level being considered,
Evaluating the test basis and test items to
identify defects of various types,
Identifying features and sets of features to be
tested,
De ning and prioritizing test conditions for
each feature based on analysis of the test
basis,
Capturing bi-directional traceability between
each element of the test basis and the
associated test conditions.
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53. Test analysis
Keywords
Requirement
A provision that contains criteria to be ful lled.
Test condition
A testable aspect of a component or system identi ed as a basis for testing.
Test basis
The body of knowledge used as the basis for test analysis and design.
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54. Test analysis - requirements
Requirement (IREB de nition)
1. A need perceived by a stakeholder
2. A capability or property that a system shall have
3. A documented representation of a need, capability or property.
The requirement is a description of a solution - a set of features required by the user, customer or
other stakeholder to achieve the objective.
The purpose of the requirement should be known and de ned.
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55. Test analysis - User stories
User stories
is a convenient form of expressing the expected business value. User stories are written in such a
way that they can be understood by both people from the business side of the project, as well as by
engineers. They are simple in structure and provide a good platform for conversation.
Źródło
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56. Test analysis - User stories template
A correct high-level story (not very detailed) should contain:
Title - the short name of the requirement
User Stories
As a ......< type of user >
I want ......< some goal >
so that ...... < some reason >.
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57. Test analysis - User stories example
User registration
As a an unregistered user
I want register on the site,
so that be able to log in.
Site navigation
As a user
I want access to the top menu of application from anywhere in the application,
so that navigate the site would be easily.
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58. Test analysis - Test condition
An example is a properly functioning ATM.
ATM functional requirements:
allows you to withdraw cash,
allows you to make quick withdrawals,
allows you to make a transfer,
allows you to check the account balance.
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59. Test analysis - Test condition
STEP 1. Identifying test object
Test object is an ATM software.
STEP 2. Identifying test conditions.
Indicating the test conditions we should be based on the requirements that the client presented for
the designed system. In our case it will be e.g.
Requirement: allows you to withdraw cash
TCo1 (Test condition): successful cash withdrawal,
TCo2: refusal to withdraw cash.
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60. Test analysis - identify defects
Ambiguities,
Omissions,
Inconsistencies
Inaccuracies
Contradictions
Super uous statements
The identi cation of defects during test analysis is an important potential bene t, especially where
no other review process is being used and/or the test process is closely connected with the review
process. Such test analysis activities not only verify whether the requirements are consistent,
properly expressed, and complete, but also validate whether the requirements properly capture
customer, user, and other stakeholder needs.
Evaluating the test basis and test items to identify defects of various types, such as:
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61. Test design
During test design, the test conditions are elaborated into high-level test cases, sets of high-level test
cases, and other testware.
RESPONSIBLE Tester
Test design includes the following major
activities:
Designing and prioritizing test cases and sets
of test cases,
Identifying necessary test data to support
test conditions and test cases,
Designing the test environment and
identifying any required infrastructure and
tools,
Capturing bi-directional traceability between
the test basis, test conditions, and test cases.
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62. Test design - test case
Test case
A set of preconditions, inputs, actions (where applicable), expected results and postconditions, developed based on test
conditions.
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63. Test design - test case
An example is a properly functioning ATM, the requirements of which we discussed earlier.
STEP 1. Identifying test conditions..
TCo: allows you to withdraw cash
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64. Test design - test case
ID TC1
TC Name Successful cash withdrawal from an ATM
Input Correct debit card
Correct PIN = 2233
Account balance = 10 000 $
Withdrawal amount = 50 $
Precondition A withdrawal can only be made for a functioning ATM that displays the welcome screen as well using a good
card and entering the correct PIN.
Expected
result
Successfully withdrawal 50 $
Account balance = 9 950 $
The ATM is working, the welcome screen is displayed
STEP 2. Create test case.
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65. Test design - test case
The test cases can be divided into: high-level test cases & low-level test cases.
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66. Test design - test case
High-level test cases Low-level test cases
It is more general. It leaves space for the
tester to interpret.
Easier to maintain.
They provide greater test coverage, because
each time the performance may be slightly
di erent (e.g. used other test data).
A better choice if we do not have a well-
described requirement, or the functionality is
not implemented.
Poor repeatability.
May require good application knowledge or
testing experience.
Describes the test process in detail. It has
carefully written steps and often test data.
It guarantees repeatability. Each test case
run will be the same.
It does not require a lot of experience from
the tester and in-depth knowledge of the
application.
They can be di cult to maintain. Change in
the app can make us x many test cases.
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67. Test design - test case
High-level test case
Enter the correct login information in the
required elds.
Przypadek testowy niskiego poziomu
1. Type "John" into text eld "Login".
2. Type "mypass" into text eld "Password".
3. Click the "Login" button
ID: CG001
TC name: Successfully login into the system.
Steps:
Expected result: The user has been logged
into the application.
ID: CG002
TC name:Successfully login into the system.
Precondition: Użytkownik jest
zarejestrowany w aplikacji.
Steps:
Expected result: The user has been logged
into the application.
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68. Test implementation
RESPONSIBLE: Tester
Test implementation includes the following
major activities:
Developing and prioritizing test procedures,
and, potentially, creating automated test
scripts
Creating test suites from the test procedures
and (if any) automated test scripts
Arranging the test suites within a test
execution schedule in a way that results in
e cient test execution,
Building the test environment,
Preparing test data and ensuring it is
properly loaded in the test environment
Verifying and updating bi-directional
traceability between the test basis, test
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69. Test implementation
Keywords
Test procedure
A sequence of test cases in execution order, and any associated actions that may be required to set up the initial
preconditions and any wrap up activities post execution.
(wg. ISO/IEC/IEEE 29119-2 (2013) Software and systems engineering — Software testing — Part 2: Test processes)
Test suite
A set of test scripts or test procedures to be executed in a speci c test run.
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70. Test implementation
The following test cases were prepared for the ATM:
TC1 - Debit card activation,
TC2 - Debit card authorization at an ATM,
TC3 - Successfully cash withdrawal,
TC4 - Transaction con rmation printout,
TC5 - Checking account status,
TC6 - Correct execution of a quick transfer,
TC7 - Refusal to make a quick transfer.
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71. Test implementation
Test procedure
Test procedure 1 (TPr_1): Successfully cash withdrawal - TC2, TC3, TC4
TPr_2: Account balance check - TC2, TC5
Test Suite
Test suite 1 (TS_1) - Manual testing of ATM operation according to test procedures: TPr_1 and
TPr_2, the sequence of tests performed is in accordance with the procedure description.
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72. Test execution
RESPONSIBLE: Tester
Test execution includes the following major
activities:
Recording the IDs and versions of the test
item(s) or test object, test tool(s), and
testware,
Executing tests either manually or by using
test execution tools,
Comparing actual results with expected
results,
Analyzing anomalies to establish their likely
causes,
Reporting defects based on the failures
observed,
Logging the outcome of test execution,
Repeating test activities either as a result of
action taken for an anomaly, or as part of the
planned testing,
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73. Test completion activities are performed when
project milestones are achieved, such as:
successful completion of the
implementation,
completion (or cancellation) of the project,
completing the iteration of an agile project,
completion of the test level or completion of
work on the maintenance release.
Test completion
RESPONSIBLE: Test manager
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74. Test completion
Test completion includes the following major activities:
Checking whether all defect reports are closed, entering change requests or product backlog
items for any defects that remain unresolved at the end of test execution,
Creating a test summary report to be communicated to stakeholders,
Finalizing and archiving the test environment, the test data, the test infrastructure, and other
testware for later reuse,
Handing over the testware to the maintenance teams, other project teams, and/or other
stakeholders who could bene t from its use,
Analyzing lessons learned from the completed test activities to determine changes needed for
future iterations, releases, and projects,
Using the information gathered to improve test process maturity.
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75. For example, the evaluation of exit criteria for
test execution as part of a given test level may
include:
Checking test results and logs against
speci ed coverage criteria,
Assessing the level of component or system
quality based on test results and logs,
Determining if more tests are needed.
Test monitoring and control are further explained in section 5.3.
Test monitoring and control
RESPONSIBLE: Test manager
Test monitoring involves the on-going comparison of actual progress against planned progress
using any test monitoring metrics de ned in the test plan.
Test control involves taking actions necessary to meet the objectives of the test plan (which may be
updated over time).
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77. Test Work Products
Test work products are created as part of the test process. Just as there is signi cant variation in the
way that organizations implement the test process, there is also signi cant variation in the types of
work products created during that process, in the ways those work products are organized and
managed, and in the names used for those work products.
Test process Products
Test planning one or more test plans
Test analysis de ned and prioritized test conditions
bidirectionally traceable to the speci c element(s) of the test basis it covers
the creation of test charters (for exploratory testing)
Test design the design high-level test cases
the design and/or identi cation of the necessary test data,
the design of the test environment
the identi cation of infrastructure and tools
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78. Test Work Products
Test process Products
Test implementation Test procedures and the sequencing of those test procedures
Test suites
A test execution schedule
Test execution Documentation of the status of individual test cases or test procedures
Defect reports
Documentation about which test item(s), test object(s), test tools, and testware were involved in the testing
Report via bi-directional traceability with the associated the test procedure(s)
Test completion test summary reports
change requests or product backlog items
nalized testware
Test monitoring and
control
various types of test reports, including test progress reports produced on an ongoing and/or a regular basis, and test summary reports
produced at various completion milestones.
summary of project management tasks, such as task completion, resource allocation and usage, and e ort.
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80. Traceability between the Test Basis and Test Work Products
Good traceability supports
Analyzing the impact of changes,
Making testing auditable,
Meeting IT governance criteria,
Improving the understandability of test progress reports and test summary reports to include the
status of elements of the test basis,
Relating the technical aspects of testing to stakeholders in terms that they can understand,
Providing information to assess product quality, process capability, and project progress against
business goals.
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81. Example of traceability.
each test case can be related to a speci c
design element (line of code, function,
module, system, etc.),
with each element of the design may be
related to some risk,
each risk can be related to a speci c
requirement,
e.t.c.
Traceability between the Test Basis and Test Work Products
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82. Traceability between the Test Basis and Test Work Products
Traceability between the Test Cases and Requirements (created by JIRA tool).
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85. Human Psychology and Testing
Tester and project teams:/p>
Finding bugs during testing can be viewed as criticizing the product or its author,
Testing seen as a destructive action for the team, despite the vast supply of knowledge from the
point of view of the Risk Management,
Constructive communication of errors, faults and failures can help to avoid short-circuits,,
The tester and test leader need good interpersonal skills,
The tester has features that contrast with those a developer needs. Testers need the knowledge
end users of the system . This allows the product to be validated in the way the client does
instead of what the developer would like,
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86. Human Psychology and Testing
Ways to communicate well include the following examples:
Start with collaboration rather than battles. Remind everyone of the common goal of better
quality systems.
Emphasize the bene ts of testing. For example, for the authors, defect information can help
them improve their work products and their skills.
Communicate test results and other ndings in a neutral, fact-focused way without criticizing
the person who created the defective item.
Write objective and factual defect reports and review ndings.
Try to understand how the other person feels and the reasons they may react negatively to the
information.
Con rm that the other person has understood what has been said and vice versa
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88. Tester’s and Developer’s Mindsets
I DO NOT MAKE BUGS ...
Whose words could these be?
Independent Tester
WHO WAS THE BEST EVALUATION OF DEVELOPERS 'WORK?
No independent testers; the only form of testing available is developers testing their own code,
Independent developers or testers within the development teams or the project team; this could
be developers testing their colleagues’ products,
Independent test team or group within the organization, reporting to project management or
executive management,
Independent testers from the business organization or user community, or with specializations in
speci c test types such as usability, security, performance, regulatory/compliance, or portability.
Independent testers external to the organization, either working on-site (in-house) or o -site
(outsourcing).
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90. Tester’s and Developer’s Mindsets
Features of a good tester
curiosity,
inquisitiveness,
critical look,
meticulousness,
experience, conclusions from previous projects,
communication - especially with developers.
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92. SUMMARY
After this chapter you should be able to:<
Identify typical objectives of testing
Di erentiate testing from debugging
Give examples of why testing is necessary
Describe the relationship between testing and quality assurance and give examples of how
testing contributes to higher quality
Distinguish between error, defect, and failure
Distinguish between the root cause of a defect and its e ects
Explain the seven testing principles
Explain the impact of context on the test process
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93. SUMMARY
After this chapter you should be able to:<
Describe the test activities and respective tasks within the test process
Di erentiate the work products that support the test process
Explain the value of maintaining traceability between the test basis and test work products
Identify the psychological factors that in uence the success of testing
Explain the di erence between the mindset required for test activities and the mindset required
for development activities 93