@inproceedings{5c51ea4296344321b5bb95a1bbc3faa1,
title = "Automatically quantifying the impact of a change in systems (journal-first abstract)",
abstract = "Software maintenance is becoming more challenging with the increased complexity of the software and the frequently applied changes. Performing impact analysis before the actual implementation of a change is a crucial task during system maintenance. While many tools and techniques are available to measure the impact of a change at the code level, only a few research work is done to measure the impact of a change at an earlier stage in the development process. This work introduces an approach to measure the impact of a change at the model level.",
keywords = "EFSM, Impact analysis, Maintenance, Model-based analysis",
author = "Nada Almasri and Luay Tahat and Bogdan Korel",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 ; Conference date: 03-09-2018 Through 07-09-2018",
year = "2018",
month = sep,
day = "3",
doi = "10.1145/3238147.3241984",
language = "English",
series = "ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering",
publisher = "Association for Computing Machinery, Inc",
pages = "952",
editor = "Christian Kastner and Marianne Huchard and Gordon Fraser",
booktitle = "ASE 2018 - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering",
}