scholarly journals Impact of Unit Testing in Web Automation Testing

2019 ◽  
Vol 8 (3) ◽  
pp. 1011-1013
Keyword(s):  
Software Testing ◽  
User Interfaces ◽  
Test Case ◽  
Unit Testing ◽  
Interface Elements ◽  
Testing Tools ◽  
Individual Unit ◽  
Automated Tools ◽  
The Individual ◽  
Automated Software

The main intent of performing Software testing is to see that the software system is working as per the user’s requirements. Unit testing is done at the individual unit or at the components level. The main objective of this testing is to validate and ensure that each unit is performing its required function effectively. In case of automated testing, in recent days, many testing tools are available which help developers to perform unit testing in a simpler manner. This paper shows how automated unit testing is performed using different testing tools like JUnit, Selenium with web driver Java and Selenium with python. Regarding the experimental work, different applications were tested with the automated tools and results have been discussed with its code. To ensure reliability on web testing, the application has to be tested with the most suitable test case. With Selenium web driver concept, various User Interfaces are identified with xpath and CSS concept and test scripts ensure that various inputs are navigated between User Interface elements. The Automated software testing process reduces time and makes it more accurate.

scholarly journals Comparative Review of the Features of Automated Software Testing Tools

2019 ◽  
Vol 9 (5) ◽  
pp. 4473
Author(s):  
Heidilyn Veloso Gamido ◽  
Marlon Viray Gamido
Keyword(s):  
Open Source ◽  
Software Testing ◽  
Automated Testing ◽  
Automated Software Testing ◽  
Testing Tools ◽  
Comparative Review ◽  
Testing Tool ◽  
Commercial Testing ◽  
Manual Testing ◽  
Automated Software

<span>Software testing is considered to be one of the most important processes in software development for it verifies if the system meets the user requirements and specification. Manual testing and automated testing are two ways of conducting software testing. Automated testing gives software testers the ease to automate the process of software testing thus considered more effective when time, cost and usability are concerned. There are a wide variety of automated testing tools available, either open source or commercial. This paper provides a comparative review of features of open source and commercial testing tools that may help users to select the appropriate software testing tool based on their requirements.</span>

SOFTWARE TESTING TECHNIQUES AND PRINCIPLES

2018 ◽  
Vol 28 (4) ◽  
pp. 1383-1387
Author(s):  
Burim Rexhepi ◽  
Ali Rexhepi
Keyword(s):  
Software Testing ◽  
Performance Testing ◽  
Software Test ◽  
Acceptance Testing ◽  
Test Case ◽  
Unit Testing ◽  
Security Testing ◽  
Road Map ◽  
Testing Strategies ◽  
Testing Techniques

This paper describes Software testing, need for software testing, Software testing goals and principles. Further it describe about different Software testing techniques and different software testing strategies. Finally it describes the difference between software testing and debugging.To perform testing effectively and efficiently, everyone involved with testing should be familiar with basic software testing goals, principles, limitations and concepts.We further explains different Software testing techniques such as Correctness testing, Performance testing, Reliability testing, Security testing. Further we have discussed the basic principles of black box testing, white box testing and gray box testing. We have surveyed some of the strategies supporting these paradigms, and have discussed their pros and cons. We also describes about different software testing strategies such as unit testing, Integration testing, acceptance testing and system testing.Finally there is comparison between debugging and testing. Testing is more than just debugging .Testing is not only used to locate defects and correct them it is also used in validation, verification process and measurement. A strategy for software Testing integrates software test case design methods into a well planned Series of steps that result in successful Construction of software that result in successful construction of software. Software testing Strategies gives the road map for testing. A software testing Strategy should be flexible enough to promote a customized testing approach at same time it must be right enough. Strategy is generally developed by project managers, software engineer and testing specialist. Software testing is an extremely creative and intellectually challenging task. When testing follows the principles given below, the creative element of test design and execution rivals any of the preceding software development steps, because testing requires high creativity and responsibility only the best personnel must be assigned to design, implement, and analyze test cases, test data and test results.

Analysis of tools for automated software testing

2019 ◽  
Keyword(s):  
Software Testing ◽  
Software Quality ◽  
Practical Interest ◽  
Test Preparation ◽  
Automated Software Testing ◽  
Testing Procedures ◽  
Testing Tools ◽  
Quality Testing ◽  
Automated Software

Software quality testing (software) is a time-consuming and responsible stage for its development. This leads to a practical interest in automating basic testing procedures. As practice shows, the use of various software testing tools greatly facilitates this process. However, it is fundamentally important to use a particular tool, taking into account the specifics of each particular case. This circumstance is due to the large volumes of information being tested and the complexity of the operational documentation. The paper provides an overview and analysis of the capabilities of existing tools for automated software testing, with a description of the relevant technologies, purpose and scope. Examples of test preparation using Selenium, SerenityBDD and JMeter are given.

scholarly journals Analysis of Test Management, Functional and Load Testing Tools

2019 ◽  
pp. 804-810
Author(s):  
Prachi Sasankar
Keyword(s):  
Software Testing ◽  
User Requirements ◽  
Load Testing ◽  
Software Products ◽  
Test Management ◽  
Testing Tools ◽  
Development Lifecycle ◽  
Software Product ◽  
Software Development Lifecycle ◽  
Automated Tools

Software testing is one of the most important phases in software development lifecycle (SDLC). Software testing is the process of evaluating the software product with the intent to find whether it satisfies the user requirements or not. It involves identifying bug, error, or defect in a software product without correcting it. There are various automated tools, which help as to test the software products with accuracy. This paper analyses some of the test management, functional and load testing tools.

scholarly journals Review on Structural Software Testing Coverage Approaches

2021 ◽  
Vol 9 (VI) ◽  
pp. 2502-2508
Author(s):  
Yogesh Dev Singh
Keyword(s):  
Software Testing ◽  
Error Detection ◽  
Test Cases ◽  
Unit Testing ◽  
Automated Software Testing ◽  
Development Life Cycle ◽  
Testing Techniques ◽  
Automated Software ◽  
Software Bug ◽  
Testing Coverage

Testing is broadly classified into three levels: Unit Testing, Addition Testing, and System Testing. Whenever we think of developing any software we always concentrate on making the software bug free and most reliable. At this point of time Testing is used to make the software a bug free. Software Testing has been measured as the most important stage of the software development life cycle. Around 60% of resources and money are cast-off for the testing of software. Testing can be manual or automated. Software testing is an activity that emphases at assessing the competence of a program and commands that it truly meets the excellence results. There are many test cases that help in detecting the bugs so, in this paper we describe about the most commonly used test cases and testing techniques for the error detection.

scholarly journals SPLMT-TE: A Software Product Lines System Test Case Tool

2012 ◽  
Author(s):  
Crescencio Rodrigues Lima Neto ◽  
Eduardo S. Almeida ◽  
Silvio R. L. Meira
Keyword(s):  
Software Testing ◽  
Software Product Lines ◽  
Test Case ◽  
Product Lines ◽  
Case Tool ◽  
Software Products ◽  
Test Execution ◽  
Testing Tools ◽  
Software Product ◽  
Testing Tool

The product lines approach requires specific testing tools that should help to manage reusable testing assets and automate the test execution. Despite of the increasing interest by the research community regarding software testing tools, Software Products Lines (SPL) still need tools to support the testing process. This work presents briefly the results of a mapping study on software testing tool and defines the requirements, design and implementation of a software product lines system test case tool, aiming at the creation and management of test assets. A controlled experiment was also conducted to evaluate the tool effectiveness.

scholarly journals Pengembangan sistem otomatisasi pembangkitan kasus uji dengan algoritma genetika dan test case generation method

Teknologi ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Moh Arsyad Mubarak Setyawan ◽  
Fajar Pradana ◽  
Bayu Priyambadha
Keyword(s):  
Software Testing ◽  
Directed Graph ◽  
Control Flow ◽  
Test Case Generation ◽  
Test Case ◽  
Test Cases ◽  
Unit Testing ◽  
Control Flow Graph ◽  
Population Number ◽  
Flow Graph

Pengujian perangkat lunak merupakan salah satu bagian penting dari pembuatan perangkat lunak. Pada pengujian perangkat lunak terdapat pengujian unit. Pengujian unit merupakan proses pengujian komponen yang berfokus untuk memverifikasi unit terkecil pada perancangan perangkat lunak. Pada tahap pengujian unit terdapat proses pembangkitan kasus uji. Selama ini, pembangkitan kasus uji dari suatu kode program dilakukan secara manual se-hingga membutuhkan waktu yang lama. Hal ini dikarenakan banyaknya kemungkinan jalur pada kode sumber yang akan diuji.  Dalam penelitian ini dibangun suatu sistem otomatis untuk membangkitkan kasus uji. Alur kerja sistem dimulai dari analisa kode sumber dengan Spoon Library, selanjutnya dibentuk CFG (Control Flow Graph) dan DDG (Dynamic Directed Graph). Dari DDG tersebut akan dibangkitkan jalur layak yang terdapat pada DDG, dengan menggunakan algoritma genetika diharapkan dapat mengoptimalkan penentuan jalur independen. Dari masing-masing jalur independen akan dibangkitkan kasus ujinya dengan metode test case generation. Pengujian akurasi sistem pada sistem otomatisasi pembangkit kasus uji dengan jumlah populasi 5, 10 dan 15 serta jumlah maksimum generasi 50, 100, 200 dan 250 dihasilkan jumlah populasi paling optimal yaitu 10 dan maksimum generasi optimal yaitu 200 dengan akurasi 93,33%. Pada jumlah populasi dan maksimum generasi sesudahnya tidak terjadi peningkatan akurasi yang signifikan. Tiap peningkatan jumlah populasi dan maksimum generasi dapat meningkatkan akurasi sistem.  Software testing is one of the most important part of making software. On the software testing there are unit testing. Unit Testing is a process for verifying component, focusing on the smallest unit of software design. In the unit testing phase contained test case generation process. During this time, the generation of test cases of a program code is done manually. In this study, constructed an automated system to generate test cases. The workflow system starts from the analysis of the source code with the library spoon and then create CFG (Control Flow Graph) and DDG (Dynamic Directed graph). From the DDG will be raised feasible path using a genetic algorithm. Furthermore, from fea-sible path sought independenth path which is a path base d on the level of uniqueness of the path to the other path. From each independenth path raised the test case with a test case generation method. Testing accuracy of the system on the automation system generating test cases with populations of 5,10 and 15 as well as the maximum number of generations 50, 100, 200 and 250 produced the most optimal population number is 15 and the most optimal maximum generation is 200 with accuracy 93.33%. Each increase in the number of population and maximum generation can improve the accuracy of the system. Level accuracy with population number over 10 and maximum generation over 200 has no increace accuracy significant.

Impact of Automated Software Testing Tools on Reflective Thinking and Student Performance in Introductory Computer Science Programming Classes

2016 ◽  
Vol 12 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Evorell Fridge ◽  
Sikha Bagui
Keyword(s):  
Software Testing ◽  
Student Performance ◽  
Reflective Thinking ◽  
Computer Code ◽  
Automated Software Testing ◽  
Introductory Computer Science ◽  
Testing Tools ◽  
Testing Tool ◽  
Automated Software ◽  
Introductory Computer Programming

The goal of this research was to investigate the effects of automated testing software on levels of student reflection and student performance. This was a self-selecting, between subjects design that examined the performance of students in introductory computer programming classes. Participants were given the option of using the Web-CAT software-testing tool to evaluate their computer code. Student self-reported levels of reflection were measured using reflective thinking survey.

A PERFORMANCE EVALUATION OF HEURISTICS-BASED TEST CASE GENERATION METHODS FOR SOFTWARE BRANCH COVERAGE

1996 ◽  
Vol 06 (04) ◽  
pp. 585-608 ◽  
Author(s):  
KAI H. CHANG ◽  
JAMES H. CROSS II ◽  
W.HOMER CARLISLE ◽  
SHIH-SUNG LIAO
Keyword(s):  
Performance Evaluation ◽  
Software Testing ◽  
Test Case Generation ◽  
Test Case ◽  
Test Cases ◽  
Unit Testing ◽  
Heuristic Rules ◽  
Generation System ◽  
Branch Coverage ◽  
Prototype Test

Software testing is an important step in the development of complex systems. The construction of test cases using traditional methods usually requires considerable manual effort. QUEST/Ada—Query Utility Environment for Software Testing of Ada, is a prototype test case generation system that uses various heuristics-based approaches to generate test cases. The system, which is designed for unit testing, generates test cases by monitoring the branch coverage progress and intelligently modifying existing test cases to achieve additional coverage. Three heuristics-based approaches along with a random test case generation method were studied to compare their branch coverage performance. Although some constraints are imposed by the prototype, the framework provides a useful foundation for further heuristics-based test case generation research. The design of the system, the heuristic rules used in the system, and an evaluation of each rule’s performance are presented.

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