As software becomes more complex, reusing and integrating artifacts from existing projects that may be taken from open or organization-proprietary repositories is becoming an increasingly important practice. This practice requires an in-depth understanding of the projects to be reused and particularly their common and variable features and their non-functional requirements. Different approaches have been suggested to analyze similarity and variability of different kinds of artifacts (mainly, requirements and code), e.g., clone detection and feature mining. These approaches, however, mainly address functional aspects of the software artifacts, while mostly neglecting aspects dictated by non-functional requirements. The recent progress with the General Data Protection Regulation (GDPR) highlights the importance of handling privacy concerns in software development. However, existing approaches do not directly refer to privacy challenges in software reuse. In this paper we propose integrating these two lines of research and introduce a privacy-aware software reuse approach. Particularly, we suggest to extend Var MeR -Variability Mechanisms Recommender -which analyzes software similarity based on exhibited behaviors and recommends on polymorphism-inspired reuse mechanisms, with privacy awareness considerations. These considerations are reflected in “privacy levels” of the reused artifacts.
|Title of host publication||MODELSWARD 2019 - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development|
|Publisher||Science and Technology Publications, Lda|
|Number of pages||6|
|State||Published - 2019|
|Event||7th International Conference on Model-Driven Engineering and Software Development , MODELSWARD 2019 - Prague, Czech Republic|
Duration: 20 Feb 2019 → 22 Feb 2019
|Name||International Conference on Model-Driven Engineering and Software Development|
|Conference||7th International Conference on Model-Driven Engineering and Software Development , MODELSWARD 2019|
|Period||20/02/19 → 22/02/19|
Bibliographical notePublisher Copyright:
© 2019 by SCITEPRESS -Science and Technology Publications, Lda. All rights reserved.
- Variability Analysis
ASJC Scopus subject areas
- Engineering (miscellaneous)