activity
20172021
most citedPredicting Defective Lines Using a Model-Agnostic Technique

138 citations · 252 across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.SE2018

The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review

Shade Ruangwan, Patanamon Thongtanunam, Akinori Ihara +1

Modern Code Review (MCR) plays a key role in software quality practices. In MCR process, a new patch (i.e., a set of code changes) is encouraged to be examined by reviewers in orde…

cs.SE2018

The Impact of IR-based Classifier Configuration on the Performance and the Effort of Method-Level Bug Localization

Chakkrit Tantithamthavorn, Surafel Lemma Abebe, Ahmed E. Hassan +2

Context: IR-based bug localization is a classifier that assists developers in locating buggy source code entities (e.g., files and methods) based on the content of a bug report. Su…

cs.SE2018

Human Capital in Software Engineering: A Systematic Mapping of Reconceptualized Human Aspect Studies

Saya Onoue, Hideaki Hata, Raula Gaikovina Kula +1

The human capital invested into software development plays a vital role in the success of any software project. By human capital, we do not mean the individuals themselves, but inv…

cs.SE2018

Are Donation Badges Appealing? A Case Study of Developer Responses to Eclipse Bug Reports

Keitaro Nakasai, Hideaki Hata, Kenichi Matsumoto

Eclipse, an open source software project, acknowledges its donors by presenting donation badges in its issue tracking system Bugzilla. However, the rewarding effect of this strateg…

cs.SE2018

An Empirical Study on README contents for JavaScript Packages

Shohei Ikeda, Akinori Ihara, Raula Gaikovina Kula +1

Contemporary software projects often utilize a README.md to share crucial information such as installation and usage examples related to their software. Furthermore, these files se…

cs.SE2018★ 28 cited

The Impact of Automated Parameter Optimization on Defect Prediction Models

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan +1

Defect prediction models---classifiers that identify defect-prone software modules---have configurable parameters that control their characteristics (e.g., the number of trees in a…