Understanding the factors that influence software testing through moments of translation

Autor: Tefo Sekgweleo, Tiko Iyamu
Rok vydání: 2022
Předmět:
Zdroj: Journal of Systems and Information Technology. 24:202-220
ISSN: 1328-7265
DOI: 10.1108/jsit-07-2021-0125
Popis: Purpose Organisations make use of different tools and methods in testing software to ensure quality and appropriateness for business needs. Despite the efforts, many organisations continue to have challenges with the quality of their software. This has impacted the service that the organisation provides to their customers and business partners. Software quality challenges persist because of two main reasons: some organisations do not conduct testing and evaluation of their software, and many organisations pay less attention to the non-technical activities in the testing and evaluation of software in their organisations. Thus, the purpose of this paper is to understand the factors that influence software testing through empirical study. Design/methodology/approach This study used actor–network theory (ANT) to assess the factors that influence the testing and evaluation of software, using a South African organisation as case in the study. Qualitative data was collected from 14 participants using semi-structured interview techniques. The interpretivist approach was applied in the analysis of the data. Findings From the analysis, six factors, software evaluation, process oriented, implementation policy, change management, power relationship and organisational structure, were found to be of influence on software testing. Based on the factors, a framework was developed to help software testers and managers understand how to customise their testing tools. Originality/value The originality of this study comes from its empirical nature, through which it contributes to practice by proposing a model for practical actions towards improving software testing in organisations. Also, this study contributes to ANT usefulness from the point of investigative effectiveness.
Databáze: OpenAIRE