Continuous Testing and Solutions for Testing Problems in Continuous Delivery: a Systematic Literature Review
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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. -
Rugby - a Process Model for Continuous Software Engineering
INSTITUT FUR¨ INFORMATIK DER TECHNISCHEN UNIVERSITAT¨ MUNCHEN¨ Forschungs- und Lehreinheit I Angewandte Softwaretechnik Rugby - A Process Model for Continuous Software Engineering Stephan Tobias Krusche Vollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Informatik der Technischen Universitat¨ Munchen¨ zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. Helmut Seidl Prufer¨ der Dissertation: 1. Univ.-Prof. Bernd Brugge,¨ Ph.D. 2. Prof. Dr. Jurgen¨ Borstler,¨ Blekinge Institute of Technology, Karlskrona, Schweden Die Dissertation wurde am 28.01.2016 bei der Technischen Universitat¨ Munchen¨ eingereicht und durch die Fakultat¨ fur¨ Informatik am 29.02.2016 angenommen. Abstract Software is developed in increasingly dynamic environments. Organizations need the capability to deal with uncertainty and to react to unexpected changes in require- ments and technologies. Agile methods already improve the flexibility towards changes and with the emergence of continuous delivery, regular feedback loops have become possible. The abilities to maintain high code quality through reviews, to regularly re- lease software, and to collect and prioritize user feedback, are necessary for con- tinuous software engineering. However, there exists no uniform process model that handles the increasing number of reviews, releases and feedback reports. In this dissertation, we describe Rugby, a process model for continuous software en- gineering that is based on a meta model, which treats development activities as parallel workflows and which allows tailoring, customization and extension. Rugby includes a change model and treats changes as events that activate workflows. It integrates re- view management, release management, and feedback management as workflows. As a consequence, Rugby handles the increasing number of reviews, releases and feedback and at the same time decreases their size and effort. -
Continuous Delivery with Spinnaker Fast, Safe, Repeatable Multi-Cloud Deployments
Continuous Delivery with Spinnaker Fast, Safe, Repeatable Multi-Cloud Deployments Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden, Lars Wander, and Rob Zienert Beijing Boston Farnham Sebastopol Tokyo Continuous Delivery with Spinnaker by Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden, Lars Wan‐ der, and Rob Zienert Copyright © 2018 Netflix, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online edi‐ tions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Acquisitions Editor: Nikki McDonald Interior Designer: David Futato Editor: Virginia Wilson Cover Designer: Karen Montgomery Production Editor: Nan Barber Illustrator: Rebecca Demarest Copyeditor: Charles Roumeliotis Technical Reviewers: Chris Devers and Jess Males Proofreader: Kim Cofer May 2018: First Edition Revision History for the First Edition 2018-05-11: First Release The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Continuous Delivery with Spin‐ naker, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsi‐ bility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. -
Studying the Feasibility and Importance of Software Testing: an Analysis
Dr. S.S.Riaz Ahamed / Internatinal Journal of Engineering Science and Technology Vol.1(3), 2009, 119-128 STUDYING THE FEASIBILITY AND IMPORTANCE OF SOFTWARE TESTING: AN ANALYSIS Dr.S.S.Riaz Ahamed Principal, Sathak Institute of Technology, Ramanathapuram,India. Email:[email protected], [email protected] ABSTRACT Software testing is a critical element of software quality assurance and represents the ultimate review of specification, design and coding. Software testing is the process of testing the functionality and correctness of software by running it. Software testing is usually performed for one of two reasons: defect detection, and reliability estimation. The problem of applying software testing to defect detection is that software can only suggest the presence of flaws, not their absence (unless the testing is exhaustive). The problem of applying software testing to reliability estimation is that the input distribution used for selecting test cases may be flawed. The key to software testing is trying to find the modes of failure - something that requires exhaustively testing the code on all possible inputs. Software Testing, depending on the testing method employed, can be implemented at any time in the development process. Keywords: verification and validation (V & V) 1 INTRODUCTION Testing is a set of activities that could be planned ahead and conducted systematically. The main objective of testing is to find an error by executing a program. The objective of testing is to check whether the designed software meets the customer specification. The Testing should fulfill the following criteria: ¾ Test should begin at the module level and work “outward” toward the integration of the entire computer based system. -
Customer Success Story
Customer Success Story Interesting Dilemma, Critical Solution Lufthansa Cargo AG The purpose of Lufthansa Cargo AG’s SDB Lufthansa Cargo AG ordered the serves more than 500 destinations world- project was to provide consistent shipment development of SDB from Lufthansa data as an infrastructure for each phase of its Systems. However, functional and load wide with passenger and cargo aircraft shipping process. Consistent shipment data testing is performed at Lufthansa Cargo as well as trucking services. Lufthansa is is a prerequisite for Lufthansa Cargo AG to AG with a core team of six business one of the leaders in the international air efficiently and effectively plan and fulfill the analysts and technical architects, headed cargo industry, and prides itself on high transport of shipments. Without it, much is at by Project Manager, Michael Herrmann. stake. quality service. Herrmann determined that he had an In instances of irregularities caused by interesting dilemma: a need to develop inconsistent shipment data, they would central, stable, and optimal-performance experience additional costs due to extra services for different applications without handling efforts, additional work to correct affecting the various front ends that THE CHALLENGE accounting information, revenue loss, and were already in place or currently under poor feedback from customers. construction. Lufthansa owns and operates a fleet of 19 MD-11F aircrafts, and charters other freight- With such critical factors in mind, Lufthansa Functional testing needed to be performed Cargo AG determined that a well-tested API on services that were independent of any carrying planes. To continue its leadership was the best solution for its central shipment front ends, along with their related test in high quality air cargo services, Lufthansa database. -
Enterprise Devops: Continuous Delivery Services Accelerate Innovation and Application Release End-To-End
Services Flyer Application Delivery Management Enterprise DevOps: Continuous Delivery Services Accelerate innovation and application release end-to-end Many organizations recognize DevOps as the collaborate. Adding Continuous Deployment ■ Management of Organizational Change best way to deliver value faster, reduce risk, and and Release is more than adding automated to drive adoption and cultural change achieve outcomes for both the organization infrastructure provisioning. It is about chang- and customers. Many have taken a bottom-up ing how apps and ops teams work together. All Our approach is iterative. We: approach: adopt an initial set of capabilities, these changes necessitate not just new tech- ■ Assess your current capabilities depending on their needs, and expand from nology but alignment of processes, teams, and Develop a prioritized roadmap of there. While this seems like a reasonable ap- KPIs. In fact, it is in the latter components that ■ proach, it suffers from one serious drawback: the tough challenges lie. activities, clearly identifying quick adopting one DevOps capability after another wins as well as mid- and long-term in a piecemeal manner is incredibly challenging DevOps spans the entire IT Value Chain, and initiatives and usually does not deliver on the end-to-end driving adoption of the necessary changes ■ Accelerate implementation using the DevOps promise. across technology, process, culture, and over- Model Office as the reference point all mindset is key to success. ■ Combine coaching with Management Micro Focus® Enterprise DevOps: Continuous of Organizational Change consulting Delivery Services bring a top-down approach Our Approach to assist with the adoption of any new to complement the bottom-up one you have At Micro Focus Professional Services, we have DevOps practices, processes, and tools likely taken. -
Types of Software Testing
Types of Software Testing We would be glad to have feedback from you. Drop us a line, whether it is a comment, a question, a work proposition or just a hello. You can use either the form below or the contact details on the rightt. Contact details [email protected] +91 811 386 5000 1 Software testing is the way of assessing a software product to distinguish contrasts between given information and expected result. Additionally, to evaluate the characteristic of a product. The testing process evaluates the quality of the software. You know what testing does. No need to explain further. But, are you aware of types of testing. It’s indeed a sea. But before we get to the types, let’s have a look at the standards that needs to be maintained. Standards of Testing The entire test should meet the user prerequisites. Exhaustive testing isn’t conceivable. As we require the ideal quantity of testing in view of the risk evaluation of the application. The entire test to be directed ought to be arranged before executing it. It follows 80/20 rule which expresses that 80% of defects originates from 20% of program parts. Start testing with little parts and extend it to broad components. Software testers know about the different sorts of Software Testing. In this article, we have incorporated majorly all types of software testing which testers, developers, and QA reams more often use in their everyday testing life. Let’s understand them!!! Black box Testing The black box testing is a category of strategy that disregards the interior component of the framework and spotlights on the output created against any input and performance of the system. -
Acceptance Testing Tools - a Different Perspective on Managing Requirements
Acceptance Testing Tools - A different perspective on managing requirements Wolfgang Emmerich Professor of Distributed Computing University College London http://sse.cs.ucl.ac.uk Learning Objectives • Introduce the V-Model of quality assurance • Stress the importance of testing in terms of software engineering economics • Understand that acceptance tests are requirements specifications • Introduce acceptance and integration testing tools for Test Driven Development • Appreciate that automated acceptance tests are executable requirements specifications 2 V-Model in Distributed System Development Requirements Acceptance Test Software Integration Architecture Test Detailed System Design Test See: B. Boehm Guidelines for Verifying and Validating Software Unit Requirements and Design Code Specifications. Euro IFIP, P. A. Test Samet (editor), North-Holland Publishing Company, IFIP, 1979. 3 1 Traditional Software Development Requirements Acceptance Test Software Integration Architecture Test Detailed System Design Test Unit Code Test 4 Test Driven Development of Distributed Systems Use Cases/ User Stories Acceptance QoS Requirements Test Software Integration & Architecture System Test Detailed Unit Design Test These tests Code should be automated 5 Advantages of Test Driven Development • Early definition of acceptance tests reveals incomplete requirements • Early formalization of requirements into automated acceptance tests unearths ambiguities • Flaws in distributed software architectures (there often are many!) are discovered early • Unit tests become precise specifications • Early resolution improves productivity (see next slide) 6 2 Software Engineering Economics See: B. Boehm: Software Engineering Economics. Prentice Hall. 1981 7 An Example Consider an on-line car dealership User Story: • I first select a locale to determine the language shown at the user interface. I then select the SUV I want to buy. -
Model-Based Fuzzing Using Symbolic Transition Systems
Model-Based Fuzzing Using Symbolic Transition Systems Wouter Bohlken [email protected] January 31, 2021, 48 pages Academic supervisor: Dr. Ana-Maria Oprescu, [email protected] Daily supervisor: Dr. Machiel van der Bijl, [email protected] Host organisation: Axini, https://www.axini.com Universiteit van Amsterdam Faculteit der Natuurwetenschappen, Wiskunde en Informatica Master Software Engineering http://www.software-engineering-amsterdam.nl Abstract As software is getting more complex, the need for thorough testing increases at the same rate. Model- Based Testing (MBT) is a technique for thorough functional testing. Model-Based Testing uses a formal definition of a program and automatically extracts test cases. While MBT is useful for functional testing, non-functional security testing is not covered in this approach. Software vulnerabilities, when exploited, can lead to serious damage in industry. Finding flaws in software is a complicated, laborious, and ex- pensive task, therefore, automated security testing is of high relevance. Fuzzing is one of the most popular and effective techniques for automatically detecting vulnerabilities in software. Many differ- ent fuzzing approaches have been developed in recent years. Research has shown that there is no single fuzzer that works best on all types of software, and different fuzzers should be used for different purposes. In this research, we conducted a systematic review of state-of-the-art fuzzers and composed a list of candidate fuzzers that can be combined with MBT. We present two approaches on how to combine these two techniques: offline and online. An offline approach fully utilizes an existing fuzzer and automatically extracts relevant information from a model, which is then used for fuzzing. -
Towards Embedded System Agile Development Challenging Verification, Validation and Accreditation
Towards Embedded System Agile Development Challenging Verification, Validation and Accreditation : Application in a Healthcare Company Clément Duffau, Bartosz Grabiec, Mireille Blay-Fornarino To cite this version: Clément Duffau, Bartosz Grabiec, Mireille Blay-Fornarino. Towards Embedded System Agile Develop- ment Challenging Verification, Validation and Accreditation : Application in a Healthcare Company. ISSRE 2017- IEEE International Symposium on Software Reliability Engineering, Oct 2017, Toulouse, France. pp.1-4. hal-01678815 HAL Id: hal-01678815 https://hal.archives-ouvertes.fr/hal-01678815 Submitted on 9 Jan 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Towards Embedded System Agile Development Challenging Verification, Validation and Accreditation Application in a Healthcare Company Clement´ Duffau Bartosz Grabiec Mireille Blay-Fornarino AXONIC and I3S AXONIC I3S Universite´ Coteˆ d’Azur, CNRS Sophia Antipolis, France Universite´ Coteˆ d’Azur, CNRS Sophia Antipolis, France [email protected] Sophia Antipolis, France [email protected] [email protected] Abstract—When Agile development meets critical embedded to survive. Moreover, with limited human resources, quality systems, verification, validation and accreditation activities are improvement with Agility usage remains to be demonstrated. impacted. Challenges such as tests increase or accreditation The remainder of this paper is organized as follows. -
An Analysis of Current Guidance in the Certification of Airborne Software
An Analysis of Current Guidance in the Certification of Airborne Software by Ryan Erwin Berk B.S., Mathematics I Massachusetts Institute of Technology, 2002 B.S., Management Science I Massachusetts Institute of Technology, 2002 Submitted to the System Design and Management Program In Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management at the ARCHIVES MASSACHUSETrS INS E. MASSACHUSETTS INSTITUTE OF TECHNOLOGY OF TECHNOLOGY June 2009 SEP 2 3 2009 © 2009 Ryan Erwin Berk LIBRARIES All Rights Reserved The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Signature of Author Ryan Erwin Berk / System Design & Management Program May 8, 2009 Certified by _ Nancy Leveson Thesis Supervisor Professor of Aeronautics and Astronautics pm-m A 11A Professor of Engineering Systems Accepted by _ Patrick Hale Director System Design and Management Program This page is intentionally left blank. An Analysis of Current Guidance in the Certification of Airborne Software by Ryan Erwin Berk Submitted to the System Design and Management Program on May 8, 2009 in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management ABSTRACT The use of software in commercial aviation has expanded over the last two decades, moving from commercial passenger transport down into single-engine piston aircraft. The most comprehensive and recent official guidance on software certification guidelines was approved in 1992 as DO-178B, before the widespread use of object-oriented design and complex aircraft systems integration in general aviation (GA). -
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.