* ICSE 2018 *
Sun 27 May - Sun 3 June 2018 Gothenburg, Sweden
Fri 1 Jun 2018 12:00 - 12:20 at G1 room - Models and Modeling I Chair(s): Jon Whittle

While early software command recommender systems drew negative user reaction, recent studies show that users of unusually complex applications will accept and utilize command recommendations. Given this new interest, more than a decade after first attempts, both the recommendation generation (backend) and the user experience (frontend) should be revisited. In this work, we focus on recommendation generation. One shortcoming of existing command recommenders is that algorithms focus primarily on mirroring the short-term past — i.e., assuming that a developer who is currently debugging will continue to debug endlessly. We propose an approach to improve on the state of the art by modeling future task context to make better recommendations to developers. That is, the approach can predict that a developer who is currently debugging may continue to debug OR may edit their program. To predict future development commands, we applied Temporal Latent Dirichlet Allocation, a topic model used primarily for natural language, to software development interaction data (i.e., command streams). We evaluated this approach on two large interaction datasets for two different IDEs, Microsoft Visual Studio and ABB Robot Studio. Our evaluation shows that this is a promising approach for both predicting future IDE commands and producing empirically-interpretable observations.

Fri 1 Jun

11:00 - 12:30: Technical Papers - Models and Modeling I at G1 room
Chair(s): Jon WhittleMonash University
icse-2018-Technical-Papers152784360000011:00 - 11:20
Sebastian KrieterMagdeburg University, Thomas ThümTU Braunschweig, Germany, Sandro SchulzeUniversity of Magdeburg, Germany, Reimar SchröterMagdeburg University, Gunter SaakeUniversity of Magdeburg, Germany
icse-2018-Technical-Papers152784480000011:20 - 11:40
Kaushik Madala, Hyunsook DoUniversity of North Texas, Daniel Aceituna
icse-2018-Technical-Papers152784600000011:40 - 12:00
Research paper
File Attached
icse-2018-Journal-first-papers152784720000012:00 - 12:20
Kostadin DamevskiVirginia Commonwealth University, Hui Chen, David ShepherdABB, Inc, Nicholas A. KraftABB Corporate Research, Lori Pollock
DOI Pre-print
icse-2018-Technical-Papers152784840000012:20 - 12:30