Using an ontology for systematic practice adoption in agile methods: Expert system and practitioners-based validation

Kiv, S (通讯作者),UCLouvain, LouRIM, Louvain La Neuve, Belgium.
2022-6-1
As many software development teams have started to adopt agile methods, a vast amount of valuable experiences have been reported on in both academic and industrial knowledge bases. This information has been used through various approaches to guide and help practitioners finding suitable practices for their software development projects. Nevertheless, not many of these approaches could gather the available experiences to make them systematically reusable and help practitioners understanding agile practices in depth. To the best of our knowledge, only one ontology has been created to solve this problem; some limitations related to its quality and usability make it nevertheless unqualified to serve the intended purpose. The aim of this paper is to build an expert system (i.e. an evidence-based tool) to ease agile practices adoption by efficiently and effectively providing information on them. Firstly, we improve the concepts and relationships in the aforementioned ontology and theoretically validate it using a large data-set of agile practices adoption experiences collected through a Systematic Literature Review (SLR). Secondly, we develop a supporting tool having a friendly Graphical User Interface (GUI) allowing to use the ontology as a concrete agile practice knowledge provider. Finally, we empirically validate the enhanced ontology and evaluate the supporting tool using a survey with agile experts. Our supporting tool can help practitioners to decide what practice to adopt, how to adopt it, how to solve practical issues, etc. The ontology and the tool materialize our contribution to the field of systematic agile practices adoption.
EXPERT SYSTEMS WITH APPLICATIONS
卷号:195
ISSN:0957-4174|收录类别:SCIE
语种
英语
来源机构
Universite Catholique Louvain; University of Liege; KU Leuven
被引频次(WOS)
2
被引频次(其他)
2
180天使用计数
4
2013以来使用计数
6
EISSN
1873-6793
出版年
2022-6-1
DOI
10.1016/j.eswa.2022.116520
学科领域
循证管理学
关键词
Agile practice Ontology Knowledge representation Real case study Systematic literature review Survey
WOS学科分类
Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science