28 citations · 38 across the 6 of their papers we have counts for
6 papers · 1 filter
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku +2
This paper claims that a new field of empirical software engineering research and practice is emerging: data mining using/used-by optimizers for empirical studies or DUO. For examp…
Total Recall, Language Processing, and Software Engineering
Zhe Yu, Tim Menzies
A broad class of software engineering problems can be generalized as the "total recall problem". This short paper claims that identifying and exploring total recall language proces…
Crowdtesting : When is The Party Over?
Junjie Wang, Ye Yang, Zhe Yu +2
Trade-offs such as "how much testing is enough" are critical yet challenging project decisions in software engineering. Most existing approaches adopt risk-driven or value-based an…
Improving Vulnerability Inspection Efficiency Using Active Learning
Zhe Yu, Christopher Theisen, Laurie Williams +1
Software engineers can find vulnerabilities with less effort if they are directed towards code that might contain more vulnerabilities. HARMLESS is an incremental support vector ma…
Data-Driven Search-based Software Engineering
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen +6
This paper introduces Data-Driven Search-based Software Engineering (DSE), which combines insights from Mining Software Repositories (MSR) and Search-based Software Engineering (SB…
Finding Faster Configurations using FLASH
Vivek Nair, Zhe Yu, Tim Menzies +2
Finding good configurations for a software system is often challenging since the number of configuration options can be large. Software engineers often make poor choices about conf…