Experience Report on Developing an Ontology-based Approach for Knowledge Management in Software Testing

Autor: Alexandre G. N. Coelho, Érica Ferreira de Souza, Marcos S. Specimille, Ricardo de Almeida Falbo, Giovani Volnei Meinerz, Nandamudi Lankalapalli Vijaykumar, Katia Romero Felizardo
Rok vydání: 2020
Předmět:
Zdroj: SBQS
DOI: 10.1145/3439961.3439993
Popis: Software testing is a knowledge intensive process. Thus, Knowledge Management (KM) emerges as a means to manage testing knowledge, and, consequently, to improve software quality. However, there are only a few KM solutions supporting software testing. This paper reports experiences from the development of an approach, Ontology-based Testing Knowledge Management (OntoT-KM), to assist in launching KM initiatives in the software testing domain with the support of Knowledge Management Systems (KMSs). OntoT-KM provides a process guiding how to start applying KM in software testing. OntoT-KM is based on the findings of a systematic mapping on KM in software testing and the results of a survey with testing practitioners. Moreover, OntoT-KM considers the conceptualization established by a Reference Ontology on Software Testing (ROoST). As a proof of concept, OntoT-KM was applied to develop a KMS called Testing KM Portal (TKMP), which was evaluated in terms of usefulness, usability and functional correctness. Results show that the developed KMS from OntoT-KM is a potential system for managing knowledge in software testing, so, the approach is able to guide KM initiatives in software testing.
Databáze: OpenAIRE