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Core Elements of Continuous Testing
WHITE PAPER CORE ELEMENTS OF CONTINUOUS TESTING Today’s modern development disciplines -- whether Agile, Continuous Integration (CI) or Continuous Delivery (CD) -- have completely transformed how teams develop and deliver applications. Companies that need to compete in today’s fast-paced digital economy must also transform how they test. Successful teams know the secret sauce to delivering high quality digital experiences fast is continuous testing. This paper will define continuous testing, explain what it is, why it’s important, and the core elements and tactical changes development and QA teams need to make in order to succeed at this emerging practice. TABLE OF CONTENTS 3 What is Continuous Testing? 6 Tactical Engineering Considerations 3 Why Continuous Testing? 7 Benefits of Continuous Testing 4 Core Elements of Continuous Testing WHAT IS CONTINUOUS TESTING? Continuous testing is the practice of executing automated tests throughout the software development cycle. It’s more than just automated testing; it’s applying the right level of automation at each stage in the development process. Unlike legacy testing methods that occur at the end of the development cycle, continuous testing occurs at multiple stages, including development, integration, pre-release, and in production. Continuous testing ensures that bugs are caught and fixed far earlier in the development process, improving overall quality while saving significant time and money. WHY CONTINUOUS TESTING? Continuous testing is a critical requirement for organizations that are shifting left towards CI or CD, both modern development practices that ensure faster time to market. When automated testing is coupled with a CI server, tests can instantly be kicked off with every build, and alerts with passing or failing test results can be delivered directly to the development team in real time. -
How to Select a Suitable Tool for a Software Development Project
HowtoSelect aSuitable Tool foraSoftwareDevelopment Project: Three Case Studies and the Lessons Learned Mark Kibanov, Dominik J. Erdmann, Martin Atzmueller Knowledge and Data Engineering Group, University of Kassel, Germany {kibanov, erdmann, atzmueller}@cs.uni-kassel.de Abstract: This paper describes aframework for evaluating and selecting suitable soft- ware tools for asoftware project, which is easily extendable depending on needs of the project. Foranevaluation, we applied the presented framework in three different projects. These projects use different software development methods (from classical models to Scrum) in different environments (industry and academia). We discuss our experiences and the lessons learned. 1Introduction With the growth of the software industry the number of software products (programs, tools, frameworks) with similar functions has also increased. Therefore, the process of selection of the required software has also become more complex. In this paper,weintroduce a general three-step framework for selecting suitable software for the current project and environment. Furthermore, we describe the application of the framework to three different software projects: These use different software development methods and environments. All three case studies showpromising results and indicate the possibility to apply the suggested framework for awide range of different projects. In these contexts, we discuss our experiences and the lessons learned. The rest of the paper is structured as follows: Section 2discusses related work. After that, Section 3presents the framework, its advantages, disadvantages and the three distinct steps of selecting the software tools. Section 4describes three case studies where we applied the framework and the results we obtained during these case studies. 2Related Work Starting in 1980 with [Saa80], Thomas L. -
Command Line Interface
Command Line Interface Squore 21.0.2 Last updated 2021-08-19 Table of Contents Preface. 1 Foreword. 1 Licence. 1 Warranty . 1 Responsabilities . 2 Contacting Vector Informatik GmbH Product Support. 2 Getting the Latest Version of this Manual . 2 1. Introduction . 3 2. Installing Squore Agent . 4 Prerequisites . 4 Download . 4 Upgrade . 4 Uninstall . 5 3. Using Squore Agent . 6 Command Line Structure . 6 Command Line Reference . 6 Squore Agent Options. 6 Project Build Parameters . 7 Exit Codes. 13 4. Managing Credentials . 14 Saving Credentials . 14 Encrypting Credentials . 15 Migrating Old Credentials Format . 16 5. Advanced Configuration . 17 Defining Server Dependencies . 17 Adding config.xml File . 17 Using Java System Properties. 18 Setting up HTTPS . 18 Appendix A: Repository Connectors . 19 ClearCase . 19 CVS . 19 Folder Path . 20 Folder (use GNATHub). 21 Git. 21 Perforce . 23 PTC Integrity . 25 SVN . 26 Synergy. 28 TFS . 30 Zip Upload . 32 Using Multiple Nodes . 32 Appendix B: Data Providers . 34 AntiC . 34 Automotive Coverage Import . 34 Automotive Tag Import. 35 Axivion. 35 BullseyeCoverage Code Coverage Analyzer. 36 CANoe. 36 Cantata . 38 CheckStyle. .. -
A Framework and Tool Supports for Generating Test Inputs of Aspectj Programs
A Framework and Tool Supports for Generating Test Inputs of AspectJ Programs Tao Xie Jianjun Zhao Department of Computer Science Department of Computer Science & Engineering North Carolina State University Shanghai Jiao Tong University Raleigh, NC 27695 Shanghai 200240, China [email protected] [email protected] ABSTRACT 1. INTRODUCTION Aspect-oriented software development is gaining popularity with Aspect-oriented software development (AOSD) is a new tech- the wider adoption of languages such as AspectJ. To reduce the nique that improves separation of concerns in software develop- manual effort of testing aspects in AspectJ programs, we have de- ment [9, 18, 22, 30]. AOSD makes it possible to modularize cross- veloped a framework, called Aspectra, that automates generation of cutting concerns of a software system, thus making it easier to test inputs for testing aspectual behavior, i.e., the behavior imple- maintain and evolve. Research in AOSD has focused mostly on mented in pieces of advice or intertype methods defined in aspects. the activities of software system design, problem analysis, and lan- To test aspects, developers construct base classes into which the guage implementation. Although it is well known that testing is a aspects are woven to form woven classes. Our approach leverages labor-intensive process that can account for half the total cost of existing test-generation tools to generate test inputs for the woven software development [8], research on testing of AOSD, especially classes; these test inputs indirectly exercise the aspects. To enable automated testing, has received little attention. aspects to be exercised during test generation, Aspectra automati- Although several approaches have been proposed recently for cally synthesizes appropriate wrapper classes for woven classes. -
Parasoft Dottest REDUCE the RISK of .NET DEVELOPMENT
Parasoft dotTEST REDUCE THE RISK OF .NET DEVELOPMENT TRY IT https://software.parasoft.com/dottest Complement your existing Visual Studio tools with deep static INCREASE analysis and advanced PROGRAMMING EFFICIENCY: coverage. An automated, non-invasive solution that the related code, and distributed to his or her scans the application codebase to iden- IDE with direct links to the problematic code • Identify runtime bugs without tify issues before they become produc- and a description of how to fix it. executing your software tion problems, Parasoft dotTEST inte- grates into the Parasoft portfolio, helping When you send the results of dotTEST’s stat- • Automate unit and component you achieve compliance in safety-critical ic analysis, coverage, and test traceability testing for instant verification and industries. into Parasoft’s reporting and analytics plat- regression testing form (DTP), they integrate with results from Parasoft dotTEST automates a broad Parasoft Jtest and Parasoft C/C++test, allow- • Automate code analysis for range of software quality practices, in- ing you to test your entire codebase and mit- compliance cluding static code analysis, unit testing, igate risks. code review, and coverage analysis, en- abling organizations to reduce risks and boost efficiency. Tests can be run directly from Visual Stu- dio or as part of an automated process. To promote rapid remediation, each problem detected is prioritized based on configur- able severity assignments, automatical- ly assigned to the developer who wrote It snaps right into Visual Studio as though it were part of the product and it greatly reduces errors by enforcing all your favorite rules. We have stuck to the MS Guidelines and we had to do almost no work at all to have dotTEST automate our code analysis and generate the grunt work part of the unit tests so that we could focus our attention on real test-driven development. -
Analysis of Devops Tools to Predict an Optimized Pipeline by Adding Weightage for Parameters
International Journal of Computer Applications (0975 – 8887) Volume 181 – No. 33, December 2018 Analysis of DevOps Tools to Predict an Optimized Pipeline by Adding Weightage for Parameters R. Vaasanthi V. Prasanna Kumari, PhD S. Philip Kingston Research Scholar, HOD, MCA Project Manager SCSVMV University Rajalakshmi Engineering Infosys, Mahindra City, Kanchipuram College, Chennai Chennai ABSTRACT cloud. Now-a-days more than ever, DevOps [Development + Operations] has gained a tremendous amount of attention in 2. SCM software industry. Selecting the tools for building the DevOps Source code management (SCM) is a software tool used for pipeline is not a trivial exercise as there are plethora’s of tools development, versioning and enables team working in available in market. It requires thought, planning, and multiple locations to work together more effectively. This preferably enough time to investigate and consult other plays a vital role in increasing team’s productivity. Some of people. Unfortunately, there isn’t enough time in the day to the SCM tools, considered for this study are GIT, SVN, CVS, dig for top-rated DevOps tools and its compatibility with ClearCase, Mercurial, TFS, Monotone, Bitkeeper, Code co- other tools. Each tool has its own pros/cons and compatibility op, Darcs, Endevor, Fossil, Perforce, Rational Synergy, of integrating with other tools. The objective of this paper is Source Safe, and GNU Bazaar. Table1 consists of SCM tools to propose an approach by adding weightage to each with weightage. parameter for the curated list of the DevOps tools. 3. BUILD Keywords Build is a process that enables source code to be automatically DevOps, SCM, dependencies, compatibility and pipeline compiled into binaries including code level unit testing to ensure individual pieces of code behave as expected [4]. -
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform Parasoft® dotTEST™ /Jtest (for Java) / C/C++test is an integrated Development Testing solution for automating a broad range of testing best practices proven to improve development team productivity and software quality. dotTEST / Java Test / C/C++ Test also seamlessly integrates with Parasoft SOAtest as an option, which enables end-to-end functional and load testing for complex distributed applications and transactions. Capabilities Overview STATIC ANALYSIS ● Broad support for languages and standards: Security | C/C++ | Java | .NET | FDA | Safety-critical ● Static analysis tool industry leader since 1994 ● Simple out-of-the-box integration into your SDLC ● Prevent and expose defects via multiple analysis techniques ● Find and fix issues rapidly, with minimal disruption ● Integrated with Parasoft's suite of development testing capabilities, including unit testing, code coverage analysis, and code review CODE COVERAGE ANALYSIS ● Track coverage during unit test execution and the data merge with coverage captured during functional and manual testing in Parasoft Development Testing Platform to measure true test coverage. ● Integrate with coverage data with static analysis violations, unit testing results, and other testing practices in Parasoft Development Testing Platform for a complete view of the risk associated with your application ● Achieve test traceability to understand the impact of change, focus testing activities based on risk, and meet compliance -
Leading Practice: Test Strategy and Approach in Agile Projects
CA SERVICES | LEADING PRACTICE Leading Practice: Test Strategy and Approach in Agile Projects Abstract This document provides best practices on how to strategize testing CA Project and Portfolio Management (CA PPM) in an agile project. The document does not include specific test cases; the list of test cases and steps for each test case are provided in a separate document. This document should be used by the agile project team that is planning the testing activities, and by end users who perform user acceptance testing (UAT). Concepts Concept Description Test Approach Defines testing strategy, roles and responsibilities of various team members, and test types. Testing Environments Outlines which testing is carried out in which environment. Testing Automation and Tools Addresses test management and automation tools required for test execution. Risk Analysis Defines the approach for risk identification and plans to mitigate risks as well as a contingency plan. Test Planning and Execution Defines the approach to plan the test cases, test scripts, and execution. Review and Approval Lists individuals who should review, approve and sign off on test results. Test Approach The test approach defines testing strategy, roles and responsibilities of various team members, and the test types. The first step is to define the testing strategy. It should describe how and when the testing will be conducted, who will do the testing, the type of testing being conducted, features being tested, environment(s) where the testing takes place, what testing tools are used, and how are defects tracked and managed. The testing strategy should be prepared by the agile core team. -
Code Review Is an Architectural Necessity
Code review is an architectural necessity Colin Dean @colindean 1 @ColinDean Software Engineer Organizer, Abstractions.io Wearer of many hats 2 My words are my own and not my employer(s), past or present. Please save questions until the end of the presentation. 3 Agenda • Quick anecdote • What is code review? • What problems does code review solve? • Quality attributes code review ensures • Tips for code reviews • Limitations 4 5 Agenda • Quick anecdote • What is code review? • What problems do code review solve? • Quality attributes code review ensures • Tips for code reviews • Limitations 6 What is code review? 7 Code review is the process by which those who maintain a software codebase evaluate a proposed change to that codebase, regardless of the source of the proposed change. 8 Code review is systematic examination of computer source code. Code Review, Wikipedia 9 Peer Review 10 Code Review 11 Code Review Vocabulary • Change - an individual unit of work altering what exists • Submission - a collection of changes • Submitter - the person proposing the submission • Reviewer - the people evaluating the submission • Annotation - remarks or ratings bestowed upon the submission 12 The submitter proposes changes in a submission, which is evaluated by a reviewer, who annotates or accepts it. 13 Most formal Least formal Team Pair Peer Inspection Walkthrough Ad-hoc review review programming deskcheck, passaround Wiegers’ peer review formality spectrum 14 Most formal Least formal Team Pair Peer Inspection Walkthrough Ad-hoc review review programming deskcheck, passaround Wiegers’ peer review formality spectrum 15 16 Agenda • Quick anecdote • What is code review? • What problems does code review solve? • Quality attributes code review ensures • Tips for code reviews • Limitations 17 Aside from the primary goal of reducing defects, Code review solves two major problems. -
Jenkins Job Builder Documentation Release 3.10.0
Jenkins Job Builder Documentation Release 3.10.0 Jenkins Job Builder Maintainers Aug 23, 2021 Contents 1 README 1 1.1 Developers................................................1 1.2 Writing a patch..............................................2 1.3 Unit Tests.................................................2 1.4 Installing without setup.py........................................2 2 Contents 5 2.1 Quick Start Guide............................................5 2.1.1 Use Case 1: Test a job definition................................5 2.1.2 Use Case 2: Updating Jenkins Jobs...............................5 2.1.3 Use Case 3: Working with JSON job definitions........................6 2.1.4 Use Case 4: Deleting a job...................................6 2.1.5 Use Case 5: Providing plugins info...............................6 2.2 Installation................................................6 2.2.1 Documentation.........................................7 2.2.2 Unit Tests............................................7 2.2.3 Test Coverage..........................................7 2.3 Configuration File............................................7 2.3.1 job_builder section.......................................8 2.3.2 jenkins section.........................................9 2.3.3 hipchat section.........................................9 2.3.4 stash section...........................................9 2.3.5 __future__ section.......................................9 2.4 Running.................................................9 2.4.1 Test Mode........................................... -
Visual Build Help
Visual Build Professional User's Manual Copyright © 1999-2021 Kinook Software, Inc. Contents I Table of Contents Part I Introduction 1 1 Overview ................................................................................................................................... 1 2 Why Visual................................................................................................................................... Build? 1 3 New Features................................................................................................................................... 2 Version 4 .......................................................................................................................................................... 2 Version 5 .......................................................................................................................................................... 3 Version 6 .......................................................................................................................................................... 4 Version 7 .......................................................................................................................................................... 7 Version 8 .......................................................................................................................................................... 9 Version 9 ......................................................................................................................................................... -
Devnet Module 3
Module 3: Software Development and Design DEVASCv1 1 Module Objectives . Module Title: Software Development and Design . Module Objective: Use software development and design best practices. It will comprise of the following sections: Topic Title Topic Objective 3.1 Software Development Compare software development methodologies. 3.2 Software Design Patterns Describe the benefits of various software design patterns. 3.3 Version Control Systems Implement software version control using GIT. 3.4 Coding Basics Explain coding best practices. 3.5 Code Review and Testing Use Python Unit Test to evaluate code. 3.6 Understanding Data Formats Use Python to parse different messaging and data formats. DEVASCv1 2 3.1 Software Development DEVASCv1 3 Introduction . The software development process is also known as the software development life cycle (SDLC). SDLC is more than just coding and also includes gathering requirements, creating a proof of concept, testing, and fixing bugs. DEVASCv1 4 Software Development Life Cycle (SDLC) . SDLC is the process of developing software, starting from an idea and ending with delivery. This process consists of six phases. Each phase takes input from the results of the previous phase. SDLC is the process of developing software, starting from an idea and ending with delivery. This process consists of six phases. Each phase takes input from the results of the previous phase. Although the waterfall methods is still widely used today, it's gradually being superseded by more adaptive, flexible methods that produce better software, faster, with less pain. These methods are collectively known as “Agile development.” DEVASCv1 5 Requirements and Analysis Phase . The requirements and analysis phase involves the product owner and qualified team members exploring the stakeholders' current situation, needs and constraints, present infrastructure, and so on, and determining the problem to be solved by the software.