Empirical analysis of the tool support for software product lines
- Others:
- Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
- European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)
- Horizonte 2020 (Unión Europea)
- Joint Funds for the innovation of science and Technology, Fujian Province, China
- National Natural Science Foundation of China
Description
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. Despite systematic literature reviews identifying the main characteristics of existing tools and the SPL activities they support, these reviews do not always help to understand if such tools provide what complex variability projects demand. This paper presents an empirical research in which we evaluate the degree of maturity of existing SPL tools focusing on their support of variability modeling characteristics and SPL engineering activities required by current application domains. We first identify the characteristics and activities that are essential for the development of SPLs by analyzing a selected sample of case studies chosen from application domains with high variability. Second, we conduct an exploratory study to analyze whether the existing tools support those characteristics and activities. We conclude that, with the current tool support, it is possible to develop a basic SPL approach. But we have also found out that these tools present several limitations when dealing with complex variability requirements demanded by emergent application domains, such as non-Boolean features or large configuration spaces. Additionally, we identify the necessity for an integrated approach with appropriate tool support to completely cover all the activities and phases of SPL engineering. To mitigate this problem, we propose different road map using the existing tools to partially or entirely support SPL engineering activities, from variability modeling to product derivation.
Abstract
Horizonte 2020 (Unión Europea) DAEMON 101017109
Abstract
Joint Funds for the innovation of science and Technology, Fujian Province, China 2019Y9136
Abstract
National Natural Science Foundation of China 82072458
Abstract
European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) MEDEA RTI2018-099213-B-I00
Additional details
- URL
- https://idus.us.es/handle//11441/155263
- URN
- urn:oai:idus.us.es:11441/155263
- Origin repository
- USE