* ICSE 2018 *
Sun 27 May - Sun 3 June 2018 Gothenburg, Sweden
Fri 1 Jun 2018 11:40 - 12:00 at G1 room - Models and Modeling I Chair(s): Jon Whittle

The prevalence of design problems may cause re-engineering or even discontinuation of the system. Due to missing, informal or outdated design documentation, developers often have to rely on the source code to identify design problems. Therefore, developers have to analyze different symptoms that manifest in several code elements, which may quickly turn into a complex task. Although researchers have been investigating techniques to help developers in identifying design problems, there is little knowledge on how developers actually proceed to identify design problems. In order to tackle this problem, we conducted a multi-trial industrial experiment with professionals from 5 software companies to build a grounded theory. The resulting theory offers explanations on how developers identify design problems in practice. For instance, it reveals the characteristics of symptoms that developers consider helpful. Moreover, developers often combine different types of symptoms to identify a single design problem. This knowledge serves as a basis to further understand the phenomena and advance towards more effective identification techniques.

Identifying Design Problems in the Source Code (ICSE_2018_draft2.pptx)5.15MiB

Fri 1 Jun
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11:00 - 12:30: Models and Modeling ITechnical Papers / Journal first papers at G1 room
Chair(s): Jon WhittleMonash University
11:00 - 11:20
Technical Papers
Sebastian KrieterMagdeburg University, Thomas ThümTU Braunschweig, Germany, Sandro SchulzeUniversity of Magdeburg, Germany, Reimar SchröterMagdeburg University, Gunter SaakeUniversity of Magdeburg, Germany
11:20 - 11:40
Technical Papers
Kaushik Madala, Hyunsook DoUniversity of North Texas, Daniel Aceituna
11:40 - 12:00
Research paper
Technical Papers
File Attached
12:00 - 12:20
Journal first papers
Kostadin DamevskiVirginia Commonwealth University, Hui Chen, David C. ShepherdABB, Inc, Nicholas A. KraftABB Corporate Research, Lori Pollock
DOI Pre-print
12:20 - 12:30
Technical Papers