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ICSE 2020
Wed 24 June - Thu 16 July 2020
Sat 11 Jul 2020 15:20 - 15:28 at Goguryeo - A26-Bugs and Repair Chair(s): Davide Falessi

Priority inflation occurs when a QA engineer or a project manager requesting a feature inflates the priority of their task so that developers deliver the fix or the new functionality faster. We survey developers and show that priority inflation occurs and misallocates developer time. We are the first to apply empirical game-theoretic analysis (EGTA) to a software engineering problem, specifically priority inflation. First, we extract prioritisation strategies from 42,620 issues from Apache’s JIRA, then use TaskAssessor, our EGTA-based modelling approach, to confirm conventional wisdom and show that the common process of a QA engineer assigning priority labels is susceptible to priority inflation. We then show that the common mitigation strategy of having a bug triage team assigning priorities does not resolve priority inflation and slows development. We then use mechanism design to devise assessor-throttling, a new, lightweight prioritisation process, immune to priority inflation. We show that assessor-throttling resolves 97% of high priority tasks, 69% better than simply relying on those filing tasks to assign their priorities. Finally, we present TheFed, a browser extension for Chrome that supports assessor-throttling.

Sat 11 Jul
Times are displayed in time zone: (UTC) Coordinated Universal Time change

15:00 - 16:00: A26-Bugs and RepairPaper Presentations / Journal First / Technical Papers at Goguryeo
Chair(s): Davide FalessiCalifornia Polytechnic State University
15:00 - 15:12
Simulee: Detecting CUDA Synchronization Bugs via Memory-Access ModelingTechnical
Technical Papers
Mingyuan WuSouthern University of Science and Technology, Yicheng OuyangSouthern University of Science and Technology, Husheng ZhouThe University of Texas at Dallas, Lingming ZhangThe University of Texas at Dallas, Cong LiuUT Dallas, Yuqun ZhangSouthern University of Science and Technology
15:12 - 15:20
Fine-Grained Dynamic Resource Allocation for Big-Data ApplicationsJ1
Journal First
Luciano BaresiPolitecnico di Milano, Alberto LevaPolitecnico di Milano, Giovanni QuattrocchiPolitecnico di Milano
15:20 - 15:28
The Assessor's Dilemma: Improving Bug Repair via Empirical Game TheoryJ1
Journal First
Carlos Gavidia-CalderonUniversity College London, Federica SarroUniversity College London, UK, Mark HarmanFacebook and University College London, Earl T. BarrUniversity College London, UK
Link to publication DOI Pre-print Media Attached
15:28 - 15:36
FixMiner: Mining Relevant Fix Patterns for Automated Program RepairJ1
Journal First
Anil KoyuncuUniversity of Luxembourg, Luxembourg, Kui LiuNanjing University of Aeronautics and Astronautics, Tegawendé F. BissyandéSnT, University of Luxembourg, Dongsun KimFuriosa.ai, Jacques KleinUniversity of Luxembourg, SnT, Martin MonperrusKTH Royal Institute of Technology, Yves Le TraonUniversity of Luxembourg
15:36 - 15:44
IntRepair: Informed Repairing of Integer OverflowsJ1
Journal First
Paul MunteanTU Munich, Martin MonperrusKTH Royal Institute of Technology, Hao SunUnaffiliated, Jens GrossklagsTechnical University of Munich, Claudia EckertTechnical University of Munich
15:44 - 15:56
DLFix: Context-based Code Transformation Learning for Automated Program RepairTechnical
Technical Papers
Yi LiNew Jersey Institute of Technology, USA, Shaohua WangNew Jersey Institute of Technology, USA, Tien N. NguyenUniversity of Texas at Dallas