Development and Evaluation of Mining Software Repositories Infrastructure Toward Automatic Bug Repair for Mobile Apps
| Project/Area Number |
15H05306
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (A)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Software
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
Yasutaka Kamei 九州大学, システム情報科学研究院, 准教授 (10610222)
|
|---|
| Research Collaborator |
Hassan Ahmed E. Queen's University
McIntosh Shane McGill University
Shihab Emad Concordia University
Hindle Abram University of Alberta
Lo David Singapore Management University
Leelaprute Pattara Kasetsart University
Dam Hoa Khanh University of Wollongong
Jiang He Dalian University of Technology
Li Xiaochen Dalian University of Technology
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2018)
|
| Budget Amount *help |
¥19,890,000 (Direct Cost: ¥15,300,000、Indirect Cost: ¥4,590,000)
Fiscal Year 2017: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2015: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
|
|---|
| Keywords | モバイルアプリ / ソフトウェア信頼性 / バグ予測 / オープンソースソフトウェア / グリーンマイニング / 自動バグ修正 / 自動修正 / クラッシュ |
|---|
| Outline of Final Research Achievements |
We propose mining software repositories infrastructure toward automatic bug repair for mobiles apps. By using MSR (Mining Software Repositories) techniques, we predict whether or not a software change keeps clean and green (i.e., the software change does not introduce crash nor abnormal energy consumption). We also automatically generate software patches if the software change is predicted as risky. The main contributions of this research project provide (T1) mining infrastructure for mobile apps, (T2) modelling techniques for risk of software changes, and (T3) techniques for automatic bug fixing (and the experimental results of the techniques).
|
| Academic Significance and Societal Importance of the Research Achievements |
本研究成果の学術的意義は，近年ソフトウェア工学分野でホットな分野であるMobile App，自動バグ修正，グリーンマイニングを統合的に研究し，成果としてまとめた点である．社会的意義としては，ソフトウェア開発で広く用いられているソフトウェアアーキテクチャの1つであるMVC（Model-View-Controller）アーキテクチャにおいて，Model部分とView部分の間にbundling presenter（イベントを蓄積し，一括してViewに送信する機能）を介することで，Mobile Appの消費電力を最大で30%ほど節約できることを明らかにした点がある．
|
Report
(4 results)
Research Products
(35 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Presentation] Defect Prediction: Accomplishments and Future Challenges2016
Author(s)
Yasutaka Kamei, Emad Shihab
Organizer
Leaders of Tomorrow / Future of Software Engineering Track at International Conference on Software Analysis, Evolution, and Reengineering (SANER2016)
Place of Presentation
Osaka, Japan
Year and Date
2016-03-14
Related Report
Int'l Joint Research / Invited
-
-
-
-
-
-
