Towards evidence-based decision-making for identification and usage of assets in composite software: A research roadmapShow others and affiliations
2021 (English)In: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481, Vol. 33, no 6, article id e2345Article in journal (Refereed) Published
Abstract [en]
Software engineering is decision intensive. Evidence-based software engineering is suggested for decision-making concerning the use of methods and technologies when developing software. Software development often includes the reuse of software assets, for example, open-source components. Which components to use have implications on the quality of the software (e.g., maintainability). Thus, research is needed to support decision-making for composite software. This paper presents a roadmap for research required to support evidence-based decision-making for choosing and integrating assets in composite software systems. The roadmap is developed as an output from a 5-year project in the area, including researchers from three different organizations. The roadmap is developed in an iterative process and is based on (1) systematic literature reviews of the area; (2) investigations of the state of practice, including a case survey and a survey; and (3) development and evaluation of solutions for asset identification and selection. The research activities resulted in identifying 11 areas in need of research. The areas are grouped into two categories: areas enabling evidence-based decision-making and those related to supporting the decision-making. The roadmap outlines research needs in these 11 areas. The research challenges and research directions presented in this roadmap are key areas for further research to support evidence-based decision-making for composite software. © 2021 The Authors. Journal of Software: Evolution and Process published by John Wiley & Sons Ltd.
Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2021. Vol. 33, no 6, article id e2345
Keywords [en]
asset origins, component-based software engineering (CBSE), decision-making, evidence-based software engineering, software architecture, Computer software reusability, Iterative methods, Open source software, Open systems, Software design, Surveys, Asset identification, Evidence Based Software Engineering, Evidence- based decisions, Iterative process, Open-source components, Research activities, Research challenges, Systematic literature review, Decision making
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-21293DOI: 10.1002/smr.2345ISI: 000630322200001Scopus ID: 2-s2.0-85102713035OAI: oai:DiVA.org:bth-21293DiVA, id: diva2:1540119
Note
open access
2021-03-262021-03-262022-09-16Bibliographically approved