Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Thu 14 Nov 2019 17:00 - 17:20 at Hillcrest - Software Development Chair(s): Hitesh Sajnani

Architecture degradation has a strong negative impact on software quality and can result in significant losses. Severe software degradation does not happen overnight. Software evolves continuously, through numerous issues, fixing bugs and adding new features, and architecture flaws emerge quietly and largely unnoticed until they grow in scope and significance when the system becomes difficult to maintain. Developers are largely unaware of these flaws or the accumulating debt as they are focused on their immediate tasks of address individual issues. As a consequence, the cumulative impacts of their activities, as they affect the architecture, go unnoticed. To detect these problems early and prevent them from accumulating into severe ones, we propose to monitor software evolution by tracking the interactions among files revised to address issues. In particular, we propose and show how we can automatically detect active hotspot, to reveal architecture problems. We have empirically studied hundreds of hotspots along the evolution timelines of 21 open source projects, and showed that there exist just a few dominating active hotspots per project at any given time. Moreover, these dominating active hotspots persist over long time periods, and thus deserve special attention. Compared with state-of-the-art design and code smell detection tools we report that by using active hotspots it is possible to detect signs of software degradation both earlier and more precisely.

Conference Day
Thu 14 Nov

Displayed time zone: Tijuana, Baja California change

16:00 - 17:40
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)
Journal First Presentations
Amritanshu AgrawalWayfair, Wei FuDepartment of Computer Science, North Carolina State University, Tim MenziesNorth Carolina State University
Link to publication
Cautious Adaptation of Defiant Components
Research Papers
Paulo MaiaState University of Ceará, Lucas VieiraState University of Ceará, Matheus ChagasState University of Ceará, Yijun YuThe Open University, UK, Andrea ZismanThe Open University, Bashar NuseibehThe Open University (UK) & Lero (Ireland)
Better Development of Safety Critical Systems:Chinese High Speed Railway System Development Experience Report
Industry Showcase
Zhiwei WuEast China Normal University, Jing LiuEast China Normal University, Xiang ChenCASCO Signal Ltd.
Active Hotspot: An Issue-Oriented Model to Monitor Software Evolution and Degradation
Research Papers
Qiong FengDrexel University, Yuanfang Cai Drexel University, Rick KazmanUniversity of Hawai‘i at Mānoa, Di CuiXi'an Jiaotong University, Ting LiuXi'an Jiaotong University, Hongzhou FangDrexel University
Automated Trainability Evaluation for Smart Software Functions
Research Papers
Ilias GerostathopoulosTechnical University of Munich, Stefan KugeleTechnical University of Munich, Christoph SeglerBMW Group Research, New Technologies, Innovations, Tomas BuresCharles University, Czech Republic, Alois KnollTechnical University of Munich
Lancer: Your Code Tell Me What You Need
Shufan ZhouSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Beijun ShenSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Hao ZhongShanghai Jiao Tong University