Relevant bibliographies by topics / Automation and software testing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automation and software testing'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Automation and software testing"

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Srivastava, Nishi, Ujjwal Kumar, and Pawan Singh. "Software and Performance Testing Tools." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (January 5, 2021): 1–12. http://dx.doi.org/10.54060/jieee/002.01.001.

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Software Testing may be a method, that involves, death penalty of a software system program/application and finding all errors or bugs therein program/application in order that the result is going to be a defect-free software system. Quality of any software system will solely be acknowledged through means that of testing (software testing). Through the advancement of technology round the world, there inflated the quantity of verification techniques and strategies to check the software system before it goes to production and astray to promote. Automation Testing has created its impact within the testing method. Now-a-days, most of the software system testing is finished with the automation tools that not solely lessens the quantity of individuals operating around that software system however additionally the errors which will be loose through the eyes of the tester. Automation take look acting contains test cases that make the work simple to capture totally different eventualities and store them. Therefore, software system automation testing method plays a significant role within the software system testing success. This study aims in knowing differing kinds of software system testing, software system testing techniques and tools and to match manual testing versus automation testing.
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Mahajan, Prasad, Harshal Shedge, and Uday Patkar. "Automation Testing In Software Organization." International Journal of Computer Applications Technology and Research 5, no. 4 (April 1, 2016): 198–201. http://dx.doi.org/10.7753/ijcatr0504.1004.

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Rankin, C. "The Software Testing Automation Framework." IBM Systems Journal 41, no. 1 (2002): 126–39. http://dx.doi.org/10.1147/sj.411.0126.

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Lathwal, Ashish. "A Literature Review on Automation Testing Using Selenium+Sikuli." International Journal of Distributed Artificial Intelligence 11, no. 2 (July 2019): 35–40. http://dx.doi.org/10.4018/ijdai.2019070104.

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Automation testing is a methodology that uses an application to implement the entire life cycle of the software in less time and provides efficiency and effectiveness to the testing software. In automation testing, the tester writes scripts and uses any suitable application software to test the software application. Automation is basically an automated process that is comprised of lots of manual activities. In other words, automation testing uses automation tools like Selenium, Sikuli, Appium, etc., to write test script and execute test cases, with no or minimal manual involvement required while executing an automated test suite. Usually, automation testers write test scripts and test cases using any of the automation tool and then groups test several cases. Here, we will discuss a neat case study explaining the automation testing using a hybrid test script.
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Singh*, T. Kishan, and Pavithra H. "Test Case Recording using JavaScript for Automation Testing." International Journal of Recent Technology and Engineering 10, no. 1 (May 30, 2021): 153–57. http://dx.doi.org/10.35940/ijrte.a5810.0510121.

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Test automation is the usage of software to monitor the execution of experiments and the comparison of actual results with expected results, apart from the software being evaluated. In a formalized web testing method already in place, test automation may automatize certain routine but required tasks and carry out extra testing which can be troublesome to try and perform manually. There is a need to simplify the test case recording process as most of the methods used at present requires the testers to generate scripts using any coding language. Hence, a light weight script less model is developed which uses JavaScript to record mouse and keyboard actions. Selenium framework is used to induce the JavaScript in the browser. Therefore, this paper focuses on developing a lightweight script less model for recording test cases on browsers.
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Sroka, Michal, Roman Nagy, and Dominik Fisch. "Genetic Algorithms in Test Design Automation." Applied Mechanics and Materials 693 (December 2014): 153–58. http://dx.doi.org/10.4028/www.scientific.net/amm.693.153.

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Automation in the software testing process has significant impact on the overall software development in industry. Therefore, any automation in software testing has huge influence on overall development costs. The present article reviews the current state of the art of test case design automation via genetic algorithms. Three approaches applied in software testing are described with regards to their applicability in the testing of embedded software.
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Sailer, André, and Marko Petricˇ. "Automation and Testing for Simplified Software Deployment." EPJ Web of Conferences 214 (2019): 05019. http://dx.doi.org/10.1051/epjconf/201921405019.

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Creating software releases is one of the more tedious occupations in the life of a software developer. For this purpose we have tried to automate as many of the repetitive tasks involved as possible from getting the commits to running the software. For this simplification we rely in large parts on free collaborative services available around GitHub: issue tracking, code review (GitHub), continuous integration (Travis-CI), static code analysis (coverity). The dependencies and compilers used in the continuous integration are obtained by mounting CVMFS into a docker container. This enables running any desired compiler version (e.g., gcc 6.2, llvm 3.9) or tool (e.g, clang-format, pylint). To create tags for the software package the powerful GitHub API is used. A script was developed that first collates the release notes from the description of each pull request, commits the release notes file, and finally makes a tag. This moves the burden of writing release notesfrom the package maintainer to the individual developer. The deployment of software releases to CVMFS is handled via GitLab-CI. When a tag is made the software is built and automatically deployed. In this paper we will describe the software infrastructure used for the iLCSoft and iLCDirac projects, which are used by CLICdp and the ILC detector collaborations, and give examples of automation which might be useful for others.
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Zhuang, Lei, Zhen Gao, Hao Wu, Chun Xin Yang, and Miao Zheng. "Research on DB2 Performance Testing Automation." Advanced Materials Research 756-759 (September 2013): 2204–8. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2204.

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Software testing play a significant role in modern software development and maintenance process, which is also an important means to ensure software reliability and improve software quality. With the continuous improvement of quality requirements of the software products and software engineering technology become more sophisticated, software testing has been participating into every phase of software lift cycle, become more and more important in software development and maintenance. DB2 Performance testing consists of four parts, which are environment setup, workload run, data measurement and environment clean up. Before all the operations are done manually and need about two hours continuous attention. Whats worse, even three times a day. This mechanical and complicated procedure is clearly unacceptable. This paper put forward a reusable automated testing framework based on IBM automated testing tools RFT to achieve the whole testing procedure automation. It reduces the count of human-computer interaction and greatly improves the efficiency of DB2 performance testing.
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Kasurinen, Jussi, Ossi Taipale, and Kari Smolander. "Software Test Automation in Practice: Empirical Observations." Advances in Software Engineering 2010 (February 4, 2010): 1–18. http://dx.doi.org/10.1155/2010/620836.

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The objective of this industry study is to shed light on the current situation and improvement needs in software test automation. To this end, 55 industry specialists from 31 organizational units were interviewed. In parallel with the survey, a qualitative study was conducted in 12 selected software development organizations. The results indicated that the software testing processes usually follow systematic methods to a large degree, and have only little immediate or critical requirements for resources. Based on the results, the testing processes have approximately three fourths of the resources they need, and have access to a limited, but usually sufficient, group of testing tools. As for the test automation, the situation is not as straightforward: based on our study, the applicability of test automation is still limited and its adaptation to testing contains practical difficulties in usability. In this study, we analyze and discuss these limitations and difficulties.
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Palak, Palak, Preeti Gulia, and Nasib Singh Gill. "Hybrid swarm intelligence-based software testing techniques for improving quality of component based software." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1716. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1716-1722.

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Being a time-consuming and costly activity, software testing always demands optimization and automation. Software testing is an important activity to achieve quality and customer satisfaction. This paper presents a comparative evaluation of different hybrid automated software testing techniques using the concepts of soft computing for overall quality enhancement. A comparison between three hybrid automation techniques is carried out i.e., hybrid ant colony optimization-genetic algorithms (ACO-GA), hybrid artificial bee colony (ABC)-Naïve Bayes, hybrid ABC-GA along with three parent approaches. The comparison is made by applying these hybrid techniques for the selection of minimized test suites thus reducing overall testing effort and eliminating useless or redundant test cases. The experimental results prove the efficiency of these hybrid approaches in different scenarios. The impact of automated testing techniques for quality enhancement is assessed in terms of defect density and defect detection percentage.
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Dissertations / Theses on the topic "Automation and software testing"

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Eatinger, Christopher J. "Testing automation tools for secure software development." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FEatinger.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 2007.
Thesis Advisor(s): Mikhail Auguston. "June 2007." Description based on title screen as viewed on August 14, 2007. Includes bibliographical references (p. 61). Also available in print.
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Jayachandran, Naveen. "Understanding roi metrics for software test automation." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001241.

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Di, Silvestro Fabio. "Improving testing reusability and automation for software product lines." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48635.

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Software product lines are widely used in industrial environments for developing complex software systems. One of the main advantages deriving from the adoption of this software engineering development methodology is increased reusability. In fact, software product lines offer convenient means for representing different products belonging to the same family and different families of products by grouping shared functionalities and highlighting differences. Despite software product lines inherently improve the design and the development of complex software systems, they usually require ad-hoc strategies for the testing of such systems.To this end, testing strategies for software product lines need to account for the extensive amount of artefacts reuse and for possible differences among such artefact, too.In fact, even though software product line products might share several functionalities, the interfaces of such functionalities might differ due to the specificities imposed by the products or their designs. In this thesis, we propose a testing approach for software product lines, which allows to test functionalities that are shared among the products, accounting for the potential heterogeneity of the exposed interfaces.The main contribution of this approach is the definition of generic test-cases from which product-specific test-scripts are automatically generated, so to enhance the reusability of the handcrafted artefacts and overcome the issue of different interfaces.What is more, the proposed approach discloses the opportunity to reduce the time required to develop testing artefacts.
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Seppänen, T. (Tuomas). "Automation improvements to LTE eNodeB user plane software integration testing." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201602111170.

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The LTE eNodeB base station software is composed of various interconnected components, which handle different functionalities. Integration testing is used to test the interfaces and interactions between the components when they are combined together. In agile software development new software component builds are created frequently, which leads to a need for a quick and automated testing environment. This thesis focuses on improving the level of automation in the LTE User Plane software integration testing continuous integration environment. Two different subjects, interface specification adaptation and test scenario configuration, are addressed in this study. An automated system triggered by the continuous integration platform is implemented to update the testing environment so that it complies with the latest interface specification. In addition, a new software tool is developed as a proof of concept for an alternative method for test script writing and test case creation. The tool is used to create and configure test scenarios in a graphical user interface and to automatically generate test scripts from the configuration instead of writing the test scripts manually. The operation of the automated adaptation system was observed for more than a year with over a hundred interface specification changes. Results show a substantial reduction in processing time when comparing to the earlier manual process and no errors were detected in the output. The new software tool for creating test scenarios achieves its goal. The tool enables the creation and configuration of basic test scenarios in the graphical user interface and the generated test scripts can be executed successfully
LTE eNodeB -tukiasema koostuu useasta toisiinsa yhteydessä olevasta komponentista, jotka käsittelevät eri toiminnallisuuksia. Integraatiotestausta käytetään komponenttien välisten rajapintojen ja vuorovaikutusten testaamiseen. Ketterässä ohjelmistokehityksessä uusia käännöksiä ohjelmistokomponenteista luodaan usein, mikä luo tarpeen nopealle ja automatisoidulle testiympäristölle. Tämä diplomityö keskittyy parantamaan automaation tasoa LTE User Plane -ohjelmiston integraatiotestauksen jatkuvan integroinnin ympäristössä. Työssä käsitellään kahta eri aihetta: rajapintamäärittelyihin mukautumista sekä testiskenaarioiden konfiguraatiota. Automatisoitu järjestelmä, jonka käynnistää jatkuvan integroinnin alusta, toteutetaan päivittämään testiympäristö noudattamaan viimeisintä rajapintamäärittelyä. Lisäksi uusi ohjelmistotyökalu kehitetään osoituksena vaihtoehtoisesta tavasta testikoodin kirjoittamiseen ja testitapausten luomiseen. Työkalua käytetään graafisessa käyttöliittymässä testiskenaarioiden muodostamiseen ja konfigurointiin sekä testikoodin automaattiseen tuottamiseen konfiguraatioiden pohjalta käsin kirjoittamisen sijaan. Automatisoidun mukautumisjärjestelmän toimintaa tarkkailtiin yli vuoden ajan, jona aikana havaittiin yli sata rajapintamäärittelyiden muutosta. Tulokset osoittavat huomattavan vähennyksen suoritusajassa verrattuna edeltäneeseen manuaaliseen prosessiin. Järjestelmän tuotoksissa ei tarkkailuajanjakson aikana havaittu virheitä. Uusi ohjelmistotyökalu testiskenaarioiden luomiseen täyttää sille asetetun tavoitteen. Työkalu mahdollistaa yksinkertaisten testiskenaarioiden luomisen ja konfiguraation graafisessa käyttöliittymässä. Työkalulla tuotetut testikoodit voidaan suorittaa onnistuneesti
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Eada, Priyanudeep. "Experiment to evaluate an Innovative Test Framework : Automation of non-functional testing." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10940.

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Context. Performance testing, among other types of non-functional testing, is necessary to assess software quality. Most often, manual approach is employed to test a system for its performance. This approach has several setbacks. The existing body of knowledge lacks empirical evidence on automation of non-functional testing and is largely focused on functional testing. Objectives. The objective of the present study is to evaluate a test framework that automates performance testing. A large-scale distributed project is selected as the context to achieve this objective. The rationale for choosing such a project is that the proposed test framework was designed with an intention to adapt and tailor according to any project’s characteristics. Methods. An experiment was conducted with 15 participants at Ericsson R&D department, India to evaluate an automated test framework. Repeated measures design with counter balancing method was used to understand the accuracy and time taken while using the test framework. To assess the ease-of-use of the proposed framework, a questionnaire was distributed among the experiment participants. Statistical techniques were used to accept or reject the hypothesis. The data analysis was performed using Microsoft Excel. Results. It is observed that the automated test framework is superior to the traditional manual approach. There is a significant reduction in the average time taken to run a test case. Further, the number of errors resulting in a typical testing process is minimized. Also, the time spent by a tester during the actual test is phenomenally reduced while using the automated approach. Finally, as perceived by software testers, the automated approach is easier to use when compared to the manual test approach. Conclusions. It can be concluded that automation of non-functional testing will result in overall reduction in project costs and improves quality of software tested. This will address important performance aspects such as system availability, durability and uptime. It was observed that it is not sufficient if the software meets the functional requirements, but is also necessary to conform to the non-functional requirements.
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Amlinger, Hanna. "Application of a New Software Tool for the Automated Test of Automotive Electronic Control Unit Software." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16785.

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Testing plays a very important role for assuring the quality of developed software. In a modern vehicle, more and more of the functionality is controlled by software and the complexity of the software always increases. The expectations on automating the testing process are to save time and to reach an even higher quality.

In this thesis, which was performed at ZF Friedrichshafen AG, a new tool for automated tests is studied. The tool is used for software in the loop simulation based system tests. The user specifies which outputs that shall be observed and which inputs that can be controlled. Based on these prerequisites, test cases are generated.

It has been studied how to apply the tool, how the test case generation can be influenced, on which systems it successfully could be used and which results that could be reached with the tool. The tool has been evaluated on the hand of two real-life examples; the software of an automatic transmission and of a pressure controller, a module of this software. It was found that there are many interesting possibilities to apply the tool in order to support the present testing process.

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Penmetsa, Jyothi Spandana. "AUTOMATION OF A CLOUD HOSTED APPLICATION : Performance, Automated Testing, Cloud Computing." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12849.

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Context: Software testing is the process of assessing quality of a software product to determine whether it matches with the existing requirements of the customer or not. Software testing is one of the “Verification and Validation,” or V&V, software practices. The two basic techniques of software testing are Black-box testing and White box testing. Black-box testing focuses solely on the outputs generated in response to the inputs supplied neglecting the internal components of the software. Whereas, White-box testing focuses on the internal mechanism of the software of any application. To explore the feasibility of black-box and white-box testing under a given set of conditions, a proper test automation framework needs to be deployed. Automation is deployed in order to reduce the manual effort and to perform testing continuously, thereby increasing the quality of the product. Objectives: In this research, cloud hosted application is automated using TestComplete tool. The objective of this thesis is to verify the functionality of cloud application such as test appliance library through automation and to measure the impact of the automation on release cycles of the organisation. Methods: Here automation is implemented using scrum methodology which is an agile development software process. Using scrum methodology, the product with working software can be delivered to the customers incrementally and empirically with updating functionalities in it. Test appliance library functionality is verified deploying testing device thereby keeping track of automatic software downloads into the testing device and licenses updating in the testing device. Results: Automation of test appliance functionality of cloud hosted application is made using TestComplete tool and impact of automation on release cycles is found reduced. Through automation of cloud hosted application, nearly 24% of reduction in level of release cycles can be observed thereby reducing the manual effort and increasing the quality of delivery. Conclusion: Automation of a cloud hosted application provides no manual effort thereby utilisation of time can be made effectively and application can be tested continuously increasing the efficiency and
AUTOMATION OF A CLOUD HOSTED APPLICATION
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Ståhlberg, Povel, and Hannes Persson. "Practical Approach to Developing an Automation Testing Tool." Thesis, Linköpings universitet, Programvara och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149311.

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Manually verifying a software under development can be time consuming because ofits complexity, but also because of frequent updates to different parts of the system. As thesoftware grows larger, a way of verifying the software automatically withoutuser-interaction is a good approach. Verifying a software systematically and automaticallywill both save time for the developers; and assure that the updated version functions asbefore. This report will present a starting point for automatic testing. This is done incooperation with XperDi, a company developing a plug-in for CAD-software thatcurrently verifies their functionality manually. This was achieved by developing a testingtool that support communication between Windows applications used by the plug-in; thiswas needed to automate the testing process. The reached conclusions during this thesisare promising as a starting point for XperDi; to move from manually to automaticverification. There are however several improvements that this report presents for furtherdevelopment of testing tool.
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Bathla, Rajender, and Anil Kapil. "Analytical Scenario of Software Testing Using Simplistic Cost Model." IJCSN, 2012. http://hdl.handle.net/10150/219531.

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Software testing is the process of executing a program with the intention of finding errors in the code. It is the process of exercising or evaluating a system or system component by manual automatic means to verify that it satisfies specified requirements or to identify differences between expected and actual results [4]. Software Testing should not be a distinct phase in System development but should be applicable throughout the design development and maintenance phases. ‘Software Testing is often used in association with terms verification & validation ‘Software testing is the process of executing software in a controlled manner, in order to answer the question: Does the software behave as specified. One way to ensure system‘s responsibility is to extensively test the system. Since software is a system component it requires a testing process also.
Software can be tested either manually or automatically. The two approaches are complementary: automated testing can perform a huge number of tests in short time or period, whereas manual testing uses the knowledge of the testing engineer to target testing to the parts of the system that are assumed to be more error-prone. Despite this contemporary, tools for manual and automatic testing are usually different, leading to decreased productivity and reliability of the testing process. Auto Test is a testing tool that provides a “best of both worlds” strategy: it integrates developers’ test cases into an automated process of systematic contractdriven testing. This allows it to combine the benefits of both approaches while keeping a simple interface, and to treat the two types of tests in a unified fashion: evaluation of results is the same, coverage measures are added up, and both types of tests can be saved in the same format. The objective of this paper is to discuss the Importance of Automation tool with associate to software testing techniques in software engineering. In this paper we provide introduction of software testing and describe the CASE tools. The solution of this problem leads to the new approach of software development known as software testing in the IT world. Software Test Automation is the process of automating the steps of manual test cases using an automation tool or utility to shorten the testing life cycle with respect to time.
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Suwala, Pawel. "Challenges with modern web testing." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118268.

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The number of web applications continues to grow rapidly. Many applications that were traditionally desktop-based such as word processors, email clients or even file managers have now their web alternatives that often have bigger user base. While the software world is shifting from providing desktop-based applications to offering cloud-based services, challenges arise to provide high quality software in this radically different environment. Web-based applications are different in many aspects to their desktop equivalents. Web-based and desktop-based applications have radically dissimilar architecture, user interface, execution environment, requirements and limitations. To mention a few specific differences: the web application is executed in the context of a web browser, not operating system; code is executed in two separate places: on the server and in the web browser; code for the server is written in a different language than code for the client. Because of these differences, the traditional software testing techniques are only of limited use. To properly test a web application one needs to take into account numerous differences in Web-Browsers such as Internet Explorer, Mozilla Firefox, Google Chrome or Apple Safari. Simple input-output testing is useful only to limited degree, because output cannot be just compared to the predefined value but must be compared within the context of all the environments and operating systems the application supports. The fact that an application works in one browser does not guarantee that it will work at all in other browsers. The entire complexity of the problem makes testing web applications a very time consuming and difficult task. Often it takes significantly longer time to test the application than it is to implement it. Because of these difficulties, web applications are often tested exclusively manually by humans, and only to a limited degree. New techniques and technologies are necessary to approach the problem of web application testing. This paper includes a case study carried out during author’s work on a web-based application. It examines the current state-of-the-art of web application testing and suggests useful techniques in tackling the problem.
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Books on the topic "Automation and software testing"

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Alpaev, Gennadiy. Software Testing Automation Tips. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3.

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Mengqi, Wu, ed. Effective software test automation: Developing an automated software testing tool. San Francisco, Calif: SYBEX, 2004.

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1959-, Fewster Mark, ed. Experiences of test automation: Case studies of software test automation. Upper Saddle River, NJ: Addison-Wesley, 2011.

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Software testing with Visual studio 2010. Upper Saddle River, NJ: Addison-Wesley, 2010.

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Alsmadi, Izzat. Advanced automated software testing: Frameworks for refined practice. Hershey, PA: Information Science Reference, 2012.

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1944-, Graham Dorothy, ed. Software test automation: Effective use of test execution tools. New York: ACM Press, 1999.

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Automating specification-based software testing. Los Alamitos, Calif: IEEE Computer Society Press, 1996.

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Utting, Mark. Practical model-based testing: A tools approach. Amsterdam: Morgan Kaufmann Publishers, 2007.

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1969-, Janssen Dennis, and Pinkster Iris 1972-, eds. Integrated test design and automation: Using the test frame method. Reading, Mass: Addison-Wesley, 2001.

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Thom, Garrett, and Gauf Bernie, eds. Implementing automated software testing: How to save time and lower costs while raising quality. Upper Saddle River, NJ: Addison-Wesley, 2009.

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Book chapters on the topic "Automation and software testing"

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Alpaev, Gennadiy. "Testing." In Software Testing Automation Tips, 21–29. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3_2.

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Alpaev, Gennadiy. "Reviewing." In Software Testing Automation Tips, 43–48. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3_5.

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Alpaev, Gennadiy. "Scripting." In Software Testing Automation Tips, 1–19. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3_1.

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Alpaev, Gennadiy. "Environment." In Software Testing Automation Tips, 31–36. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3_3.

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Alpaev, Gennadiy. "Running, Logging, Verifying." In Software Testing Automation Tips, 37–42. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3162-3_4.

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Cebrián, David, Valentín Valero, and Fernando Cuartero. "Automation of Avionic Systems Testing." In Testing of Software and Communicating Systems, 28–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73066-8_3.

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Bertolino, A., R. Mirandola, and E. Peciola. "A Case Study in Branch Testing Automation." In Achieving Quality in Software, 369–80. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34869-8_30.

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Sherwood, George B. "Embedded Functions for Test Design Automation." In Hardware and Software: Verification and Testing, 221–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70389-3_16.

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Schieferdecker, Ina. "Test Automation with TTCN-3 - State of the Art and a Future Perspective." In Testing Software and Systems, 1–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16573-3_1.

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Dhir, Saru, and Deepak Kumar. "Automation Software Testing on Web-Based Application." In Advances in Intelligent Systems and Computing, 691–98. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8848-3_67.

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Conference papers on the topic "Automation and software testing"

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Sneha, Karuturi, and Gowda M. Malle. "Research on software testing techniques and software automation testing tools." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389562.

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Karhu, Katja, Tiina Repo, Ossi Taipale, and Kari Smolander. "Empirical Observations on Software Testing Automation." In 2009 International Conference on Software Testing Verification and Validation (ICST). IEEE, 2009. http://dx.doi.org/10.1109/icst.2009.16.

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Krapfenbauer, Harald, Dominik Ertl, Alois Zoitl, and Friederich Kupzog. "Improving Component Testing of Industrial Automation Software." In 2009 Fourth International Multi-Conference on Computing in the Global Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccgi.2009.46.

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Tarasov, Vladimir, He Tan, and Anders Adlemo. "Automation of Software Testing Process using Ontologies." In 11th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0008054000570066.

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Yun Koo Chung and Sun-Myung Hwang. "Software testing for intelligent robots." In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406752.

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Fraser, Gordon. "Gamification of Software Testing." In 2017 IEEE/ACM 12th International Workshop on Automation of Software Testing (AST). IEEE, 2017. http://dx.doi.org/10.1109/ast.2017.20.

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Wotawa, Franz. "On the Automation of Security Testing." In 2016 International Conference on Software Security and Assurance (ICSSA). IEEE, 2016. http://dx.doi.org/10.1109/icssa.2016.9.

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Ulewicz, Sebastian, Daniel Schutz, and Birgit Vogel-Heuser. "Software changes in factory automation: Towards automatic change based regression testing." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7048875.

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Borodaev, Leonid, Alexandru Telea, Rix Groenboom, and Rein Smedinga. "Software Metrics for Policy-Driven Software Development Life Cycle Automation." In 2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2018. http://dx.doi.org/10.1109/icstw.2018.00047.

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Labiche, Yvan. "Test Automation - Automation of What?" In 2018 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2018. http://dx.doi.org/10.1109/icstw.2018.00037.

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Reports on the topic "Automation and software testing"

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Luqi. Engineering Automation for Reliable Software. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada394886.

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Luqi. Engineering Automation for Reliable Software. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada384685.

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STUBBS, A. M. Honeywell Modular Automation System Computer Software Documentation. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/805654.

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CUNNINGHAM, L. T. Honeywell Modular Automation System Computer Software Documentation. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/798078.

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Christie, A., L. Levine, E. Morris, D. Zubrow, and T. Belton. Software Process Automation: Experiences from the Trenches. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada310916.

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STUBBS, A. M. Honeywell modular automation system computer software documentation. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/814764.

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Cunningham, L. T. Honeywell modular automation system computer software documentation. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/325385.

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Shatz, Sol M. Methods and Tools to Support Software Engineering Automation. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada392761.

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Shimeall, Timothy J., and Stephen C. Shimeall. Iterative Software Testing. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada255953.

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Bergès, B. J. P., S. Sakinan, F. Berg, S. M. Lusseau, M. Schaber, and S. O’Connnell. HERAS survey indices: automation, TAF and testing. IJmuiden: Stichting Wageningen Research, Centre for Fisheries Research (CVO), 2021. http://dx.doi.org/10.18174/541760.

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