Faculty Profiles - OHIRA Masao

Published Papers - OHIRA Masao

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異分野コラボレーションとしてのソフトウェア要求抽出の支援

逵明憲, 大平雅雄, 森崎修司, 松本健一（Part： Corresponding author )

電子情報通信学会論文誌 D ( The Institute of Electronics, Information and Communication Engineers ) J90-D ( 12 ) 3151 - 3160 2007.12 [Refereed]

ソフトウェア開発の初期工程であるソフトウェア要求抽出では,ステークホルダ(本論文では,顧客と要求分析者)間の背景知識や専門知識が異なるため,コミュニケーションが困難になる場合が多い.その結果,あいまいな要求が抽出されたり,顧客自身が気づいていない潜在的な要求の抽出に失敗するという問題が生じる.本研究は,ソフトウェア要求抽出を顧客と要求分析者の異分野コラボレーションとしてとらえ,顧客と要求分析者とのコミュニケーションを支援することにより,要求の明確化と顕在化を促進させるための方法を構築することを目的としている.本論文では,異分野協調作業支援環境EVIDII (an Environment for VIsualizing Differences of Individual Impressions)を要求抽出会議へ適用した実験について述べる.実験の結果,EVIDIIを用いた要求抽出会議は,インタビュー形式で行う従来の要求抽出会議に比べて,必須要求及び潜在的要求の抽出の点で優れていることが分かった.

Designing a System for Real-Time Software Development Management

大平雅雄, 横森励士, 阪井誠, 岩村聡, 小野英治, 新海平, 横川智教（Part： Lead author,　Corresponding author )

電子情報通信学会論文誌 D-1 ( The Institute of Electronics, Information and Communication Engineers ) J88-D-1 ( 2 ) 228 - 239 2005.02 [Refereed]

本研究は, 信頼性や生産性に課題の多いソフトウェア開発の分野において, 科学的根拠に基づく開発手法である実証的ソフトウェア工学(Empirical Software Engineering)の確立を目指すEASE(Empirical Approach to Software Engineering)プロジェクトの一環として行われたものである.本論文では, より実践的なプロセス改善の支援を目的として構築したシステム, EPM(Empirical Project Monitor)について述べる.EPMは, 現在広く普及している開発支援フリーウェア(CVS, Mailman, GNATS等)と連携することによって開発履歴データをリアルタイムに収集し, 定量的データ分析を可能にするシステムである.EPMを利用したソフトウェア開発では, 管理者及び開発者は常時, プロジェクトの進捗状況や作業状況を客観的に把握することが可能となる.その効用として, プロジェクトの問題点を迅速に発見し的確なプロジェクト管理が行いやすくなるため, 効果的なプロセス改善活動の実施を期待することができる.システムの有用性を検証するために, 試作したEPMを現行のEPM開発プロジェクトに適用した結果, 開発者に大きな作業負荷を与えることなく当該プロジェクトの状況を分析することができた.

Accelerating cross-project knowledge collaboration using collaborative filtering and social networks.

Masao Ohira, Naoki Ohsugi, Tetsuya Ohoka, Ken-ichi Matsumoto （Part： Lead author,　Corresponding author )

ACM SIGSOFT Software Engineering Notes 30 ( 4 ) 1 - 5 2005 [Refereed]

DOI

OSSプロジェクトへのオンボーディング支援のためのGood First Issue自動分類

堀口日向, 大平雅雄

コンピュータソフトウェア 39 ( 4 ) 31 - 37 2022.10 [Refereed]

DOI

A Preliminary Analysis of Gpl Related License Violations in Docker Images

Yunosuke Higashi, Yutaro Kashiwa, Masao Ohira （Part： Last author )

Proceedings of 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER '22) 433 - 437 2022.03 [Refereed]

Onboarding to Open Source Projects with Good First Issues: A Preliminary Analysis

Hyuga Horiguchi, Itsuki Omori, Masao Ohira （Part： Last author,　Corresponding author )

2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) ( IEEE ) 501 - 505 2021.03 [Refereed]

DOI

Introduction to the Special Issue on Foundations of Software Engineering

Akito Monden, Shuji Morisaki, Masao Ohira, Hirohisa Aman, Atsushi Sawada, Yasuhiro Sugiyama, Shingo Takada, Noriko Hanakawa, Hironori Washizaki

Computer Software ( Japan Society for Software Science and Technology ) 37 ( 4 ) 2 2020.10

DOI

Report on the 26th foundation of software engineering workshop (fose2019)

Shuji Morisaki, Masao Ohira, Akito Monden

Computer Software ( Japan Society for Software Science and Technology ) 37 ( 4 ) 3 - 9 2020.10

DOI

A bot for suggesting questions that match each user's expertise.

Katsunori Fukui, Tomoki Miyazaki, Masao Ohira

2019 IEEE/ACM 1st International Workshop on Bots in Software Engineering (BotSE) ( IEEE / ACM ) 18 - 19 2019.05 [Refereed]

DOI

Suggesting Questions that Match Each User's Expertise in Community Question and Answering Services

Katsunori Fukui, Tomoki Miyazaki, Masao Ohira

2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) ( IEEE ) 513 - 518 2019 [Refereed]

Stack Overflow has been already recognized as an indispensable CQA (Community Question and Answering) service for developers. However developers as questioners sometimes cannot get any answers or they only can get incomplete answers to resolve their questions, since over several thousands of questions and answers are posted on a daily basis and expert developers are currently facing with a difficulty in finding questions which can be better or best answered by them. In order address the issue, our study aims at developing a bot that helps expert developers find questions matching each developer's expertise. The existing study [8] proposed a promising approach to the expert recommendation for CQA services, based on PMF (Probabilistic Matrix Factorization) algorithm. In order to improve the accuracy of the expert recommendation, in this paper we present our approach which combines the PMF (Probabilistic Matrix Factorization) approach and a term expansion techniques using word embeddings. As a result of an experiment comparing our approach with the existing approach only based on PMF, we show that our approach based on PMF and the term expansion with Word2vec and fastText slightly outperforms the existing approach only based on PMF.

DOI

Code Clone Tracer (CCT): A Tracking Tool for Analyzing Human and Social Factors in Creating and Reusing Code Clones

Yusuke Kukita, Kojiro Noguchi, Masao Ohira

2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) ( IEEE ) 519 - 524 2019 [Refereed]

This paper introduces a tool called CCT (Code Clone Tracer) which is designed to help practitioners and researchers analyze the impacts of human/social factors on software quality in creating and reusing code clones. CCT tracks a history of created and reused code clones for all the revisions in a distributed version control system such as Git. The tool also has features to analyze the relationship between bug-inducing changes and developers, working together with a bug tracking system such as Bugzilla and JIRA. This paper reports our pilot case study where CCT is applied to three open source projects (RxJava, c:geo, and Jackson databind). The results of the case study indicated that a small number of particular developers were involved in many of clone changes to resolve issues.

DOI

What Are the Perception Gaps Between FLOSS Developers and SE Researchers? A Case of Bug Finding Research

Yutaro Kashiwa, Akinori Ihara, Masao Ohira

OPEN SOURCE SYSTEMS, OSS 2019 ( SPRINGER INTERNATIONAL PUBLISHING AG ) 556 44 - 57 2019 [Refereed]

In recent years, many researchers in the SE community have been devoting considerable efforts to provide FLOSS developers with a means to quickly find and fix various kinds of bugs in FLOSS products such as security and performance bugs. However, it is not exactly sure how FLOSS developers think about bugs to be removed preferentially. Without a full understanding of FLOSS developers' perceptions of bug finding and fixing, researchers' efforts might remain far away from FLOSS developers' needs. In this study, we interview 322 notable GitHub developers about high impact bugs to understand FLOSS developers' needs for bug finding and fixing, and we manually inspect and classify developers' answers (bugs) by symptoms and root causes of bugs. As a result, we show that security and breakage bugs are highly crucial for FLOSS developers. We also identify what kinds of high impact bugs should be studied newly by the SE community to help FLOSS developers.

DOI

ソフトウェアテストにおける静的解析ツールの段階的適用による不具合修正工数の更なる低減 ―民生用音響・映像機器向け組み込みソフトウェア開発へのQACの段階的適用とその実証評価―

鶴田雅明, 大平雅雄, 門田暁人, 松本健一

情報社会学会誌 11 ( 1 ) 5 - 16 2016 [Refereed]

Clustering OSS License Statements Toward Automatic Generation of License Rules

Yunosuke Higashi, Yuki Manabe, Masao Ohira （Part： Corresponding author )

PROCEEDINGS 7TH INTERNATIONAL WORKSHOP ON EMPIRICAL SOFTWARE ENGINEERING IN PRACTICE (IWESEP 2016) 30 - 35 2016 [Refereed]

DOI

A Case Study on the Misclassification of Software Performance Issues in an Issue Tracking System

Masao Ohira, Hayato Yoshiyuki, Yosuke Yamatani

2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS) ( IEEE COMPUTER SOC ) 855 - 860 2016 [Refereed]

In this study we focus on the misclassification of issue reports regarding software performance in OSS development. IEEE Std 610 [1] defines performance as "The degree to which a system or component accomplishes its designated functions within given constraints, such as speed, accuracy, or memory usage." The definition implies that there is no rigorous criteria nor quantitative measure to detect a software performance problem, but rather it relies on a subjective judgement. OSS users sometimes mistakenly report a performance bug as a request for improving software performance and sometimes mistakenly report an improvement request for fixing a performance bug. The misclassification of report types can impedes the efficient bug-fix process in OSS development, since OSS developers preferentially spend time fixing bugs which might be improvement requests (i.e., not bugs) in reality. In this paper we strengthen our previous study for the Apache Wicket project by manually inspecting 1,000 bugs and 1,000 improvement requests respectively to more precisely understand the impacts of the misclassification on the bug-fix process in OSS development.

DOI

機械学習を用いたテキスト分類によるライセンス特定のためのルール作成プロセス支援

東裕之輔, 眞鍋雄貴, 大平雅雄

ソフトウェア・シンポジウム 2015 in 和歌山 70 - 79 2015.06 [Refereed]

A Dataset of High Impact Bugs: Manually-Classified Issue Reports

Masao Ohira, Yutaro Kashiwa, Yosuke Yamatani, Hayato Yoshiyuki, Yoshiya Maeda, Nachai Limsettho, Keisuke Fujino, Hideaki Hata, Akinori Ihara, Kenichi Matsumoto

12TH WORKING CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2015) ( IEEE ) 518 - 521 2015 [Refereed]

The importance of supporting test and maintenance activities in software development has been increasing, since recent software systems have become large and complex. Although in the field of Mining Software Repositories (MSR) there are many promising approaches to predicting, localizing, and triaging bugs, most of them do not consider impacts of each bug on users and developers but rather treat all bugs with equal weighting, excepting a few studies on high impact bugs including security, performance, blocking, and so forth. To make MSR techniques more actionable and effective in practice, we need deeper understandings of high impact bugs. In this paper we introduced our dataset of high impact bugs which was created by manually reviewing four thousand issue reports in four open source projects (Ambari, Camel, Derby and Wicket).

DOI

Predicting Bug-Fix Time Using Social Relationships between Assignors and Assignees in OSS Development

吉行勇人, 大平雅雄, 戸田航史

コンピュータソフトウェア ( Japan Society for Software Science and Technology ) 32 ( 2 ) 2.128-2.134 (J-STAGE) - 2_134 2015 [Refereed]

A large number of bugs are reported to a large-scale open source software (OSS) project. Since it is very difficult to fix all the bugs, a manager in the project needs to know time to fix bugs to decide which bugs should be fixed before the next release. In this paper we focus on social relationships between assignors and assignees and construct prediction models based on a random forest method and logistic regression, in order to predict the time to fix bugs. As a result of our experiment, we show that our model predicts more accurately whether a bug is fixed within a day or not, compared with the existing prediction model.

DOI

ソフトウェア品質の第三者評価における探索的データ解析ツールの利用とその効果:OSSデータを対象とした検証実験

大平雅雄, 伊原彰紀, 中野大輔, 松本健一（Part： Lead author )

SEC Journal ( 情報処理推進機構技術本部ソフトウェア・エンジニアリング・センター ) 10 ( 1 ) 24 - 31 2014.03 [Refereed]

Adaptive Search Framework: Better Search Result for Community

Papon Yongpisanpop, Masao Ohira, Akinori Ihara, Kenichi Matsumoto

情報社会学会誌 8 ( 2 ) 29 - 43 2014.03 [Refereed]

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Published Papers - OHIRA Masao