Soak Testing of Web Applications Based on Automatic Test Cases
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Smoke Testing
International Journal of Scientific and Research Publications, Volume 4, Issue 2, February 2014 1 ISSN 2250-3153 Smoke Testing Vinod Kumar Chauhan Quality Assurance (QA), Impetus InfoTech Pvt. Ltd. (India) Abstract- Smoke testing is an end-to-end testing which determine the stability of new build by checking the crucial functionality of the application under test and used as criteria of accepting the new build for detailed testing. Index Terms- Software testing, acceptance testing, agile, build, regression testing, sanity testing I. INTRODUCTION The purpose of this research paper is to give details of smoke testing from the industry practices. II. SMOKE TESTING The purpose of smoke testing is to determine whether the new software build is stable or not so that the build could be used for detailed testing by the QA team and further work by the development team. If the build is stable i.e. the smoke test passes then build could be used by the QA and development team. On the stable build QA team performs functional testing for the newly added features/functionality and then performs regression testing depending upon the situation. But if the build is not stable i.e. the smoke fails then the build is rejected to the development team to fix the build issues and create a new build. Smoke Testing is generally done by the QA team but in certain situations, can be done by the development team. In that case the development team checks the stability of the build and deploy to QA only if the build is stable. In other case, whenever there is new build deployment to the QA environment then the team first performs the smoke test on the build and depending upon the results of smoke the decision to accept or reject the build is 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. -
Smoke Testing What Is Smoke Testing?
Smoke Testing What is Smoke Testing? Smoke testing is the initial testing process exercised to check whether the software under test is ready/stable for further testing. The term ‘Smoke Testing’ is came from the hardware testing, in the hardware testing initial pass is done to check if it did not catch the fire or smoked in the initial switch on.Prior to start Smoke testing few test cases need to created once to use for smoke testing. These test cases are executed prior to start actual testing to checkcritical functionalities of the program is working fine. This set of test cases written such a way that all functionality is verified but not in deep. The objective is not to perform exhaustive testing, the tester need check the navigation’s & adding simple things, tester needs to ask simple questions “Can tester able to access software application?”, “Does user navigates from one window to other?”, “Check that the GUI is responsive” etc. Here are graphical representation of Smoke testing & Sanity testing in software testing: Smoke Sanity Testing Diagram The test cases can be executed manually or automated; this depends upon the project requirements. In this types of testing mainly focus on the important functionality of application, tester do not care about detailed testing of each software component, this can be cover in the further testing of application. The Smoke testing is typically executed by testers after every build is received for checking the build is in testable condition. This type of testing is applicable in the Integration Testing, System Testing and Acceptance Testing levels. -
Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK
1 From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK Abstract—This paper1 describes some of the challenges and research questions that target the most productive intersection opportunities when deploying static and dynamic analysis at we have yet witnessed: that between exciting, intellectually scale, drawing on the authors’ experience with the Infer and challenging science, and real-world deployment impact. Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, Many industrialists have perhaps tended to regard it unlikely impacting billions of people worldwide. that much academic work will prove relevant to their most The paper identifies open problems that have yet to receive pressing industrial concerns. On the other hand, it is not significant attention from the scientific community, yet which uncommon for academic and scientific researchers to believe have potential for profound real world impact, formulating these that most of the problems faced by industrialists are either as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects. boring, tedious or scientifically uninteresting. This sociological phenomenon has led to a great deal of miscommunication between the academic and industrial sectors. I. INTRODUCTION We hope that we can make a small contribution by focusing on the intersection of challenging and interesting scientific How do we transition research on static and dynamic problems with pressing industrial deployment needs. Our aim analysis techniques from the testing and verification research is to move the debate beyond relatively unhelpful observations communities to industrial practice? Many have asked this we have typically encountered in, for example, conference question, and others related to it. -
Exploring Languages with Interpreters and Functional Programming Chapter 11
Exploring Languages with Interpreters and Functional Programming Chapter 11 H. Conrad Cunningham 24 January 2019 Contents 11 Software Testing Concepts 2 11.1 Chapter Introduction . .2 11.2 Software Requirements Specification . .2 11.3 What is Software Testing? . .3 11.4 Goals of Testing . .3 11.5 Dimensions of Testing . .3 11.5.1 Testing levels . .4 11.5.2 Testing methods . .6 11.5.2.1 Black-box testing . .6 11.5.2.2 White-box testing . .8 11.5.2.3 Gray-box testing . .9 11.5.2.4 Ad hoc testing . .9 11.5.3 Testing types . .9 11.5.4 Combining levels, methods, and types . 10 11.6 Aside: Test-Driven Development . 10 11.7 Principles for Test Automation . 12 11.8 What Next? . 15 11.9 Exercises . 15 11.10Acknowledgements . 15 11.11References . 16 11.12Terms and Concepts . 17 Copyright (C) 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 1 (662) 915-5358 Browser Advisory: The HTML version of this textbook requires a browser that supports the display of MathML. A good choice as of October 2018 is a recent version of Firefox from Mozilla. 2 11 Software Testing Concepts 11.1 Chapter Introduction The goal of this chapter is to survey the important concepts, terminology, and techniques of software testing in general. The next chapter illustrates these techniques by manually constructing test scripts for Haskell functions and modules. 11.2 Software Requirements Specification The purpose of a software development project is to meet particular needs and expectations of the project’s stakeholders. -
SPIRENT NETWORK SECURITY TESTING Ensure Your Carrier, Enterprise, and Mobile Network Infrastructure Is Secure
SPIRENT NETWORK SECURITY TESTING Ensure Your Carrier, Enterprise, and Mobile Network Infrastructure Is Secure Network protection is the number one IT concern of businesses globally and significant investment is made in security products. Can they really be trusted? Don’t rely on vendor claims to thwart attacks that are becoming more complex by the day. Don’t put your network at risk. Trust in Spirent to validate that your network security system performs as intended. The key to successful security testing is knowing what to test, Trusted Performance when to test and how to test. Any security solution must have the Spirent TestCenter with Spirent Avalanche™ and Spirent Studio™ ability to: security testing solutions are trusted industry-wide. Spirent Ŋ Detect and prevent hundreds of thousands of known attacks, TestCenter has won numerous industry awards and has been blended attacks and vulnerabilities selected as the test solution of choice for countless public tests Ŋ Maintain throughput with processor-intensive features like because of its capabilities. content-filtering enabled Ŋ Maintain acceptable performance while under attack Optimal times to test are prior to making any purchase decision, deployment on the live network, after network upgrades have been implemented to ensure devices are correctly configured, and before new services rollouts. Periodic testing is also advisable, especially at the rate new attacks are surfacing. Spirent TestCenter™ provides purpose-built, end-to-end security SPIRENT TESTCENTER C100 testing ranging from Terabit-scale, at line rate speeds to emulate daily business traffic, to validating security capabilities via fuzzing testing, DDoS replication and much more. Spirent has experts and solutions that will assist in security test planning, either on-site CHeck POINT 61000 Security SysteM or virtually. -
Achieving Test Automation Synergy
ACHIEVING TEST AUTOMATION SYNERGY CI/CD PIPELINES + TEST AUTOMATION + TEST DATA GENERATION How Test Data Generation integrates with CI/CD pipelines and test automation tools to unlock the full potential of accelerated software development. TABLE OF CONTENTS Embracing Quality at Speed 3 Thinking Differently About Test Data 10 The Importance of Test Data Quality 16 Integrating TDG with CI/CD 21 Maximizing Test Automation ROI 28 Innovating Test Data Solutions 36 Realizing Operational Benefits 45 ACHIEVING TEST AUTOMATION SYNERGY CI/CD PIPELINES + TEST AUTOMATION + TEST DATA GENERATION 1 EMBRACING QUALITY AT SPEED SPEED OF DEVELOPMENT N DevOps IO AT CI/CD TA Agile CLES M DA TO T AU TES ST RELEASE CY TE CI/CD Automation Test Data Pipelines Frameworks Generation Software engineering teams are accelerating the speed of development through the adoption of Agile and DevOps methodologies combined with the deployment of CI/CD pipelines. This trend has made test automation essential for QA organizations to keep pace with development. Faster release cycles are driving automation in every testing category. Test automation has become the key to ensuring quality at the speed of continuous delivery. This eBook will introduce Test Data Generation (TDG) as the next generation of Test Data Management (TDM) and will illustrate how this new and innovative technology can help your organization achieve the full synergy of test automation in a continuous delivery environment. Release Cycles Keep Getting Faster For most development environments, DevOps has become a standard approach for compressing release cycles from months and weeks to just days and hours. Market data now characterizes DevOps as widely adopted, with over 50% of organizations having implemented it and over half of the remaining organizations planning to implement the approach within 12 months (Forrester). -
Getting to Continuous Testing
T2 Continuous Testing Thursday, October 3rd, 2019 9:45 AM Getting to Continuous Testing Presented by: Max Saperstone Coveros Brought to you by: 888---268---8770 ·· 904---278---0524 - [email protected] - http://www.starwest.techwell.com/ Max Saperstone Max Saperstone has been working as a software and test engineer for over a decade, with a focus on test automation within the CI/CD process. He specializes in open source tools, including the Selenium tool suite, JMeter, AutoIT, Cucumber, and Chef. Max has led several test automation efforts, including developing an automated suite focusing on web-based software to operate over several applications for Kronos Federal. He also headed a project with Delta Dental, developing an automated testing structure to run Cucumber tests over multiple test interfaces and environments, while also developing a system to keep test data "ageless." He currently heads up the development of Selenified, an open source testing framework to allow for testing of multiple interfaces, custom reporting, and minimal test upkeep. Getting to Continuous Testing A Greenfield Test Automation Story [email protected] maxsaperstone @Automate_Tests Max Saperstone @Automate_Tests 1 Max Saperstone @Automate_Tests Max Saperstone • Director of Testing and Automation at Coveros • Over a decade of test automation experience • Often Test Architect on consulting projects • Helped transform multiple organizations to test effectively within sprints • Mainly focuses on open source tools • Lover of the outdoors and cheap beer Max -
Unit Testing
Unit Testing • Unit Testing: Unit testing focuses verification effort on the smallest unit of software design—the software component or module. • The unit test focuses on the internal processing logic and data structures within the boundaries of a component. • This type of testing can be conducted in parallel for multiple components. unit-4-Types of Testing 1/17 Unit Testing unit-4-Types of Testing 2 Unit Testing • The module interface is tested to ensure that information properly flows into and out of the program unit under test. • Local data structures are examined to ensure that data stored temporarily maintains its integrity during all steps in an algorithm’s execution. • All independent paths through the control structure are exercised to ensure • that all statements in a module have been executed at least once. • Boundary conditions are tested to ensure that the module operates properly at boundaries established to limit or restrict processing. • Finally, all error-handling paths are tested. unit-4-Types of Testing 3/17 Unit Test Consideration • Selective testing of execution paths is an essential task during the unit test. • Test cases should be designed to uncover errors due to erroneous computations, incorrect comparisons, or improper control flow. unit-4-Types of Testing 4/17 Unit Test Procedure unit-4-Types of Testing 5 Unit Testing ➢ Driver is nothing more than a “main program” that accepts test case data, passes such data to the component (to be tested), and prints relevant results. ➢ Stubs serve to replace modules that are subordinate (invoked by) the component to be tested. ➢ A stub or “dummy subprogram” uses the subordinate module’s interface, may do minimal data manipulation, prints verification of entry, and returns control to the module undergoing testing. -
Software Testing – Levels, Methods and Types
International Journal of Electrical, Electronics and Computer Systems (IJEECS) ________________________________________________________________________________________________ Software Testing – Levels, Methods and Types Priyadarshini. A. Dass Telecommunication Engineering, Dr Ambedkar Institute of Technology, Bangalore, India 3. System Testing Abstract-- An evaluation process to determine the presence of errors in computer Software is the Software testing. The 4. Acceptance Testing Software testing cannot completely test software because exhaustive testing is rarely possible due to time and resource constraints. Testing is fundamentally a comparison activity in which the results are monitored for specific inputs. The software is subjected to different probing inputs and its behavior is evaluated against expected outcomes. Testing is the dynamic analysis of the product meaning that the testing activity probes software for faults and failures while it is actually executed. Thus, the selection of right strategy at the right time will make the software testing efficient and effective. In this paper I have described software testing techniques which are Figure 1: Levels of Testing classified by purpose. 2.1 Unit Testing Keywords-- ISTQB, unit testing, integration, system, Unit Testing is a level of the software testing process acceptance, black-box, white-box, regression, load, stress, where individual units/components of a software/system endurance testing. are tested. The purpose is to validate that each unit of I. INTRODUCTION the software performs as designed. A unit is the smallest testable part of software. It usually has one or a few Software testing is a set of activities conducted with the inputs and usually a single output. Unit Testing is the intent of finding errors in software. -
Continuous Testing
BROUGHT TO YOU IN PARTNERSHIP WITH CONTENTS ö Continuous Testing vs. Test Continuous Testing: Automation ö Continuous Testing and Agile Transforming Testing for Agile + DevOps Success ö The Top Continuous Testing Roadblocks and DevOps ö The Path to Continuous Testing ö Conclusion WRITTEN BY CHRISTOPHER SPRINGSTEAD, PRODUCT MARKETING MANAGER, CA TECHNOLOGIES UPDATED BY WAYNE ARIOLA, CMO, TRICENTIS Let's face it. Businesses don't want — or need — perfect software. Continuous Testing vs. Test Automation They want to deliver new, business-differentiating software as Like Lucy and Ethel struggling to keep pace at the chocolate soon as possible. To enable this, we need fast feedback on whether factory, many software testers have been scrambling to keep pace the latest innovations will work as expected or crash and burn with accelerated processes — then along comes the supervisor in production. We also need to know if these changes somehow proclaiming, "You're doing splendidly! Speed it up!" broke the core functionality that the customer base — and thus the As expectations associated with testing are changing, legacy testing business — depends upon. platforms aren't keeping up. Legacy testing platforms take a "heavy" This is where continuous testing comes in. Continuous testing is approach to testing. They rely on brittle scripts, deliver slow end- the process of executing automated tests as part of the software to-end regression test execution, and produce an overwhelming delivery pipeline in order to obtain feedback on the business risks level of false positives. As a result, they've achieved limited success associated with a software release as rapidly as possible. -
Reliable Software Systems
Reliable Software Systems Week 4: Pre-production January 31, 2018 Alyssa Pittman University of Washington Allen School Motivating example: Healthcare.gov launch Launched October 1, 2013 - 250k visitors on first day, 6 managed to sign up Expected use was 50k visitors per day 5 days prior to launch, testing showed that only 1k simultaneous users overloaded the site After that, tried to double hardware capacity before launch Drop-downs of data weren’t populated End-to-end testing wasn’t completed before launch https://oig.hhs.gov/oei/reports/oei-06-14-00350.pdf Pre-production practices Building Integrating Testing Pre-production environments Pre-production practices One idea: Keep all code in a separate branch. Do some testing locally. Commit to main when you want to push it to production. What could go wrong? Continuous Integration (CI) Frequently building/integrating code. Automate! When a build breaks, you know immediately. You fix it immediately (or revert your commit). Continuous Integration (CI) Benefits: Problems discovered early. Code is fresh in memory. Drawbacks: (kinda) Can take a long time. Requires small, independent commits. Requires good tests in order to pay off. https://xkcd.com/303/ Continuous Delivery Some teams deploy directly to production Some teams deliver a package that *could* be deployed ...so far, we know the code will build, how do we know it will work properly? Environments Environment Dependencies Data Local/dev Local or in memory Fake Test/QA Local or test Fake User acceptance testing UAT or production Fake Staging Staging or production Fake or production Production Production Production Systems today Clients Servers Dependency Dependency Database Staging Environment “Staging is where you validate the known-unknowns of your systems.” Staging is the closest to production you can get without actually being there.