GPCE 2018
Mon 5 - Tue 6 November 2018 Boston, Massachusetts, United States
co-located with SPLASH 2018
Tue 6 Nov 2018 15:30 - 16:00 at Studio 2 - VI Chair(s): Stefan Marr

Software Product Lines (SPLs) are a common technique to capture families of software products in terms of commonalities and variabilities. On a conceptual level, functionality of an SPL is modeled in terms of features in Feature Models (FMs). As other software systems, SPLs and their FMs are subject to evolution that may lead to the introduction of anomalies (e.g., non-selectable features). To fix such anomalies, developers need to understand the cause for them. However, for large evolution histories and large SPLs, explanations may become very long and, as a consequence, hard to understand. In this paper, we present a novel method for anomaly detection and explanation that, by encoding the entire evolution history, identifies the evolution step of anomaly introduction and explains which of the performed evolution operations lead to it. In our evaluation, we show that our method significantly reduces the complexity of generated explanations.

Tue 6 Nov
Times are displayed in time zone: (GMT-05:00) Guadalajara, Mexico City, Monterrey change

15:30 - 17:00: GPCE 2018 - VI at Studio 2
Chair(s): Stefan MarrUniversity of Kent
gpce-201815:30 - 16:00
Michael NiekeTU Braunschweig, Germany, Jacopo MauroUniversity of Southern Denmark, Christoph SeidlTechnische Universität Braunschweig, Thomas ThümTU Braunschweig, Germany, Ingrid Chieh YuUniversity of Oslo, Felix FranzkeTU Braunschweig
gpce-201816:00 - 16:30
Gabriel RadanneUniversity of Freiburg, Peter ThiemannUniversity of Freiburg
DOI Pre-print
gpce-201816:30 - 17:00
Yin LiuVirginia Tech, Kijin AnVirginia Tech, Eli TilevichVirginia Tech