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Authors: Iris Reinhartz-Berger 1 ; Anna Zamansky 1 and Agnes Koschmider 2

Affiliations: 1 Department of Information Systems, University of Haifa, Haifa and Israel ; 2 Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe and Germany

Keyword(s): Reuse, Privacy, Variability Analysis, Compliance.

Related Ontology Subjects/Areas/Topics: Applications and Software Development ; Component-Based Software Engineering ; Domain-Specific Modeling and Domain-Specific Languages ; Frameworks for Model-Driven Development ; Languages, Tools and Architectures ; MetaModeling ; Methodologies, Processes and Platforms ; Model-Driven Software Development ; Models ; Paradigm Trends ; Reasoning about Models ; Software Engineering

Abstract: 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 integr ating these two lines of research and introduce a privacy-aware software reuse approach. Particularly, we suggest to extend VarMeR – 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. (More)


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Paper citation in several formats:
Reinhartz-Berger, I.; Zamansky, A. and Koschmider, A. (2019). Towards Privacy-aware Software Reuse. In Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD, ISBN 978-989-758-358-2; ISSN 2184-4348, pages 450-455. DOI: 10.5220/0007566204500455

author={Iris Reinhartz{-}Berger. and Anna Zamansky. and Agnes Koschmider.},
title={Towards Privacy-aware Software Reuse},
booktitle={Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD,},


JO - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD,
TI - Towards Privacy-aware Software Reuse
SN - 978-989-758-358-2
IS - 2184-4348
AU - Reinhartz-Berger, I.
AU - Zamansky, A.
AU - Koschmider, A.
PY - 2019
SP - 450
EP - 455
DO - 10.5220/0007566204500455