An externally replicated experiment to evaluate software testing methods

2013 ◽  
Author(s):  
Sheikh Umar Farooq ◽  
Smk Quadri
Keyword(s):  
Software Testing ◽  
Testing Methods

scholarly journals Comprehensive study of software testing: Categories, levels, techniques, and types

2020 ◽  
Author(s):  
Mubarak Albarka Umar
Keyword(s):  
Software Testing ◽  
Software Quality ◽  
Testing Methods ◽  
Development Lifecycle ◽  
Software Development Lifecycle ◽  
Pros And Cons ◽  
Testing Techniques ◽  
Combination Of Methods ◽  
The Right ◽  
Comprehensive Study

<p><i>Software Testing is the process of evaluating a software program to ensure that it performs its intended purpose. Software testing verifies the safety, reliability, and correct working of software. The growing need for quality software makes software testing a crucial stage in Software Development Lifecycle. There are many methods of testing software, however, the choice of method to test a given software remains a major problem in software testing. Although, it is often impossible to find all errors in software, employing the right combination of methods will make software testing efficient and successful. Knowing these software testing methods is the key to making the right selection. This paper presents a comprehensive study of software testing methods. An explanation of Testing Categories was presented first, followed by Testing Levels (and their comparison), then Testing Techniques (and their comparison). For each Testing Levels and Testing Techniques, examples of some testing types and their pros and cons were given with a brief explanation of some of the important testing types. Furthermore, a clear and distinguishable explanation of two confused and contradictory terms (Verification and Validation) and how they relate to Software Quality was provided.</i></p>

scholarly journals Research on the Computer Software Testing Method Based on Multiple Platforms

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yongfang Sun ◽  
Jianjun Li
Keyword(s):  
Software Development ◽  
Software Testing ◽  
Computer Software ◽  
Test Accuracy ◽  
Testing Methods ◽  
Modern Life ◽  
Testing Method ◽  
Software Companies ◽  
And Control

Informationization plays an important role in modern life and production. And various software is one of the bases for it. Before it goes into service, software needs to go through many steps, including software development, design, etc. In software development, test is the key to identify and control bugs and errors in the software. Therefore, software companies often test the software to ensure that it is qualified. In recent years, more attention has been paid to a multi-platform computer software testing method, which can make up for defects in traditional testing methods to improve test accuracy. Firstly, this paper illustrates the connotation and features of software testing. Secondly, common software testing platforms and their requirements are analyzed. Finally, this paper proposes software testing method based on multiple platforms.

Concolic Test Generation and the Cloud

2015 ◽  
pp. 302-322
Author(s):  
Nikolai Kosmatov
Keyword(s):  
Software Testing ◽  
Test Generation ◽  
Symbolic Execution ◽  
Major Obstacle ◽  
Testing Methods ◽  
C Programs ◽  
Security Issues ◽  
Efficient Alternative ◽  
Cloud Environments ◽  
Testing Techniques

Software testing in the cloud can reduce the need for hardware and software resources and offer a flexible and efficient alternative to the traditional software testing process. A major obstacle to the wider use of testing in the cloud is related to security issues. This chapter focuses on test generation techniques that combine concrete and symbolic execution of the program under test. Their deployment in the cloud leads to complex technical and security issues that do not occur for other testing methods. This chapter describes recent online deployment of such a technique implemented by the PathCrawler test generation tool for C programs, where the author faced, studied, and solved many of these issues. Mixed concrete/symbolic testing techniques not only constitute a challenging target for deployment in the cloud, but they also provide a promising way to improve the reliability of cloud environments. The author argues that these techniques can be efficiently used to help to create trustworthy cloud environments.

A replicated empirical study to evaluate software testing methods

2017 ◽  
Vol 29 (9) ◽  
pp. e1883 ◽  
Author(s):  
Sheikh Umar Farooq ◽  
S.M.K. Quadri ◽  
Nesar Ahmad
Keyword(s):  
Empirical Study ◽  
Software Testing ◽  
Testing Methods

Finding Errors in Programs for Processing Graphic Images using the Fuzzing Method

2021 ◽  
pp. 4-23
Author(s):  
G.S. Baydin ◽  
M.V. Khizova
Keyword(s):  
Bayesian Networks ◽  
Software Testing ◽  
Test Data ◽  
Simulation Environment ◽  
Structural Components ◽  
Testing Methods ◽  
Process Step ◽  
Executable Code ◽  
Graphic Images ◽  
Graphics Processing

Increasing number of software for automated graphics processing requires effective testing methods. One of these methods is fuzzing, for which it is necessary to determine the most effective algorithms for creating test data in order to increase the number of errors found and minimize hardware resources. The comparison of algorithms for creating test data for finding errors in the executable code of programs designed for processing graphic images is the result of the performed research. Using Bayesian networks to describe fuzzing allows determining the relationships between structural components during testing. Based on the results of the comparison of fuzzing algorithms for creating test data, the most effective algorithms for finding errors in the executable code of programs for processing graphic images have been identified. The performance of the proposed algorithms was tested on a number of existing vulnerabilities classified as CVE (Common Vulnerabilities and Exposures). The processing of the results of experiments on the creation of test data was carried out using the simulation environment, allowing analyzing the testing process step by step. The obtained research results, algorithms for creating test data for finding errors can be used at various stages of software testing

scholarly journals Using Fuzzy Logic Techniques for Assertion-Based Software Testing Metrics

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ali M. Alakeel
Keyword(s):  
Fuzzy Logic ◽  
Software Testing ◽  
Black Box ◽  
Testing Methods ◽  
Software Developers ◽  
Automated Software Testing ◽  
Large Numbers ◽  
Testing Techniques ◽  
And Performance ◽  
Automated Software

Software testing is a very labor intensive and costly task. Therefore, many software testing techniques to automate the process of software testing have been reported in the literature. Assertion-Based automated software testing has been shown to be effective in detecting program faults as compared to traditional black-box and white-box software testing methods. However, the applicability of this approach in the presence of large numbers of assertions may be very costly. Therefore, software developers need assistance while making decision to apply Assertion-Based testing in order for them to get the benefits of this approach at an acceptable level of costs. In this paper, we present an Assertion-Based testing metrics technique that is based on fuzzy logic. The main goal of the proposed technique is to enhance the performance of Assertion-Based software testing in the presence of large numbers of assertions. To evaluate the proposed technique, an experimental study was performed in which the proposed technique is applied on programs with assertions. The result of this experiment shows that the effectiveness and performance of Assertion-Based software testing have improved when applying the proposed testing metrics technique.

Sign in / Sign up

Export Citation Format

Share Document