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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

Displayed time zone: (UTC) Coordinated Universal Time change

15:00 - 16:00
A26-Bugs and RepairJournal First / Technical Papers at Goguryeo
Chair(s): Davide Falessi California Polytechnic State University
15:00
12m
Talk
Simulee: Detecting CUDA Synchronization Bugs via Memory-Access ModelingTechnical
Technical Papers
Mingyuan Wu Southern University of Science and Technology, Yicheng Ouyang Southern University of Science and Technology, Husheng Zhou The University of Texas at Dallas, Lingming Zhang The University of Texas at Dallas, Cong Liu UT Dallas, Yuqun Zhang Southern University of Science and Technology
15:12
8m
Talk
Fine-Grained Dynamic Resource Allocation for Big-Data ApplicationsJ1
Journal First
Luciano Baresi Politecnico di Milano, Alberto Leva Politecnico di Milano, Giovanni Quattrocchi Politecnico di Milano
15:20
8m
Talk
The Assessor's Dilemma: Improving Bug Repair via Empirical Game TheoryJ1
Journal First
Carlos Gavidia-Calderon University College London, Federica Sarro University College London, UK, Mark Harman Facebook and University College London, Earl T. Barr University College London, UK
Link to publication DOI Pre-print Media Attached
15:28
8m
Talk
FixMiner: Mining Relevant Fix Patterns for Automated Program RepairJ1
Journal First
Anil Koyuncu University of Luxembourg, Luxembourg, Kui Liu Nanjing University of Aeronautics and Astronautics, Tegawendé F. Bissyandé SnT, University of Luxembourg, Dongsun Kim Furiosa.ai, Jacques Klein University of Luxembourg, SnT, Martin Monperrus KTH Royal Institute of Technology, Yves Le Traon University of Luxembourg
Pre-print
15:36
8m
Talk
IntRepair: Informed Repairing of Integer OverflowsJ1
Journal First
Paul Muntean TU Munich, Martin Monperrus KTH Royal Institute of Technology, Hao Sun Unaffiliated, Jens Grossklags Technical University of Munich, Claudia Eckert Technical University of Munich
15:44
12m
Talk
DLFix: Context-based Code Transformation Learning for Automated Program RepairTechnical
Technical Papers
Yi Li New Jersey Institute of Technology, USA, Shaohua Wang New Jersey Institute of Technology, USA, Tien N. Nguyen University of Texas at Dallas