Faculty Profiles - MONDEN Akito

MISC - MONDEN Akito

Division display 81 - 100 of about 243 ／ All the affair displays >>

作業時間に基づくソフトウェア保守ベンチマーキングの試み (ソフトウェアサイエンス)

角田雅照, 門田暁人, 松本健一, 大岩佐和子, 押野智樹

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 114 ( 127 ) 17 - 23 2014.7

Language：Japanese Publisher：一般社団法人電子情報通信学会

近年,受託開発ソフトウェアは新規の開発が頭打ちの状況に対して,開発済みのソフトウェア資産が増えることに伴い保守の比率が高まり,保守の重要性が高まっている.このため,保守単独で契約を結ぶ場合もある.保守とは,単にソフトウェア出荷後に発見された欠陥を除去することだけを指すのではない.ソフトウェアは利用されているうちに,ビジネス環境の変化により,機能の拡張,修正が必要となる.保守とはそれらの修正も含んだ概念である.本研究では,ソフトウェア保守における作業効率のベンチマークを確立することを試みる.ベンチマークを確立するためには,複数の組織から収集されたプロジェクトのデータ,すなわち企業横断的データを用いて,作業効率に影響する特性を明らかにする必要がある.本研究では,企業横断的データとして,一般財団法人経済調査会によって平成24年度に収集された134件の事例を用い,作業効率に影響する要因を分析した.作業効率は修正実施プログラム本数÷作業時間数と定義した.分析では,ベンチマーキングのために,箱ひげ図により各特性の作業効率の分布を示すとともに,開発言語がJavaであるかどうか,ツールの制約が強いかどうかが作業効率に影響することを示した.

CiNii Article

CiNii Books

researchmap

作業時間に基づくソフトウェア保守ベンチマーキングの試み

角田雅照, 門田暁人, 松本健一, 大岩佐和子, 押野智樹

研究報告ソフトウェア工学（SE） 2014 ( 3 ) 1 - 7 2014.7

Language：Japanese Publisher：一般社団法人情報処理学会

近年，受託開発ソフトウェアは新規の開発が頭打ちの状況に対して，開発済みのソフトウェア資産が増えることに伴い保守の比率が高まり，保守の重要性が高まっている．このため，保守単独で契約を結ぶ場合もある．保守とは，単にソフトウェア出荷後に発見された欠陥を除去することだけを指すのではない．ソフトウェアは利用されているうちに，ビジネス環境の変化により，機能の拡張，修正が必要となる．保守とはそれらの修正も含んだ概念である．本研究では，ソフトウェア保守における作業効率のベンチマークを確立することを試みる．ベンチマークを確立するためには，複数の組織から収集されたプロジェクトのデータ，すなわち企業横断的データを用いて，作業効率に影響する特性を明らかにする必要がある．本研究では，企業横断的データとして，一般財団法人経済調査会によって平成 24 年度に収集された 134 件の事例を用い，作業効率に影響する要因を分析した．作業効率は修正実施プログラム本数 ÷ 作業時間数と定義した．分析では，ベンチマーキングのために，箱ひげ図により各特性の作業効率の分布を示すとともに，開発言語が Java であるかどうか，ツールの制約が強いかどうかが作業効率に影響することを示した．

CiNii Article

CiNii Books

researchmap

作業履歴中の主要な作業に着目した作業目的予測

大橋亮太, 上野秀剛, 門田暁人

研究報告ソフトウェア工学（SE） 2014 ( 22 ) 1 - 8 2014.3

Language：Japanese Publisher：一般社団法人情報処理学会

本稿はソフトウェア開発者の能力向上・プロセス改善手法である PSP における作業履歴の記録と作業目的に基づいた履歴の分析を支援するために，作業者の作業履歴から作業目的を予測する手法を提案する．提案手法は作業目的が頻繁に変化しないという仮説の元，予測対象となる作業 (Task) の前後に行われた作業の特性から作業目的 (Aim) を推定する．連続する Task のうち，打鍵数やクリック数が多い Task をその Aim における主要 Task とし，特性として使用する．RandomForest による予測モデルを構築し実験した結果，提案手法は時系列情報を用いない場合に比べ，高い精度で作業を予測できた．特に，前後の作業を多く見るほど予測精度の向上が見られた．

CiNii Article

CiNii Books

researchmap

Characterizing Defects Found in Code Review

2014 95 - 96 2014.1

Prediction of the Change of Learners' Motivation in Programming Education for Non-Computing Majors

Hidekuni Tsukamoto, Yasuhiro Takemura, Hideo Nagumo, Akito Monden, Ken-ichi Matsumoto

2014 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE) 1 - 7 2014

Language：English Publisher：IEEE

In the past, the authors had been analyzing motivation of the learners in programming education using the ARCS assessment metric. This metric had been used in the application experiment in 13 programming courses, and about 1,700 sets of data was collected. From these data, the learners' model, characteristics of the change of motivation, and ways of improving teaching materials had been clarified. However, these study results were obtained after the terms, when the programming courses were over, and thus did not contribute much to the ongoing programming education. For this reason, in this research, the methods for predicting the change of learners' motivation were studied so that the learners who may need support could be identified. The idea came from the experiment the authors conducted, in which the motivation of learners was analyzed by plotting the motivation scores of each factor in the ARCS model as a 3D graph. As a result, a decreasing tendency of motivation was observed when the distribution of the plot widened. After studying the tendency in detail, it was thought to be due to the influence of the variance of sub-level category scores. In the proposed method, the motivation of each learner is assessed in each lesson using the ARCS assessment metric. If variance of the motivation scores of a learner in a lesson is above a certain threshold value AND if mean of the scores has not decreased from the previous lesson, then the learner is identified as a candidate of learner who needs support at that lesson. In the application experiment, a programming course with 9 lessons was offered and 9 learners attended all the 9 lessons. In the experiment, 7 cases had been identified as the candidates of learners who need support, and out of those 7 cases, a decrease of motivation to less than average was observed in 5 cases.

DOI： 10.1109/FIE.2014.7044221

Web of Science

researchmap

Evaluation of request for proposal (RFP) focusing on non-functional requirements

Yasuhiro Saito, Akito Monden, Kenichi Matsumoto

SEC journal 10 ( 3 ) 30 - 37 2014

コードの「不自然さ」に基づくソフトウェア保護機構のステルシネス評価

神﨑雄一郎, 尾上栄浩, 門田暁人

情報処理学会論文誌 55 ( 2 ) 1005 - 1015 2014

Software Effort Estimation Models Incorporating Expert Judgment

55 ( 2 ) 994 - 1004 2014

Simulation of effort allocation strategies in software testing using bug module prediction

Daisuke Nakano, Akito Monden, Yasutaka Kamei, Kenichi Matsumoto

Computer Software 31 ( 2 ) 118 - 128 2014

To date, various techniques for predicting fault-prone modules have been proposed; however, test strategies, which assign a certain amount of test effort to each module, have been rarely studied. This paper proposes a simulation model of software testing that can evaluate various test strategies. The simulation model estimates the number of discoverable faults with respect to the given test resources, the test strategy, complexity metrics of a set of modules to be tested, and the fault prediction results. Based on a case study of simulation applying fault prediction to two open source software (Eclipse and Mylyn), we show the relationship between the available test effort and the effective test strategy.

DOI： 10.11309/jssst.31.2_118

Scopus

researchmap

Industry Questions About Open Source Software in Business: Research Directions and Potential Answers

Akinori Ihara, Akito Monden, Ken-ichi Matsumoto

2014 6TH INTERNATIONAL WORKSHOP ON EMPIRICAL SOFTWARE ENGINEERING IN PRACTICE (IWESEP 2014) 55 - 59 2014

Language：English Publisher：IEEE

As open source software (OSS) has become an integral part of today's software businesses, many software companies rely on OSS to develop their customer solutions and products. On the other hand, they face various concerns in using OSS, such as technical support, quality, security and licensing issues. This paper focuses on OSS-related FAQ in industry, and tries to answer them or to provide research directions based on lessons learned from recent mining OSS repository researches.

DOI： 10.1109/IWESEP.2014.12

Web of Science

researchmap

Automatic Unsupervised Bug Report Categorization

Nachai Limsettho, Hideaki Hata, Akito Monden, Kenichi Matsumoto

2014 6TH INTERNATIONAL WORKSHOP ON EMPIRICAL SOFTWARE ENGINEERING IN PRACTICE (IWESEP 2014) 7 - 12 2014

Language：English Publisher：IEEE

Background: Information in bug reports is implicit and therefore difficult to comprehend. To extract its meaning, some processes are required. Categorizing bug reports is a technique that can help in this regard. It can be used to help in the bug reports management or to understand the underlying structure of the desired project. However, most researches in this area are focusing on a supervised learning approach that still requires a lot of human afford to prepare a training data. Aims: Our aim is to develop an automated framework than can categorize bug reports, according to their hidden characteristics and structures, without the needed for training data. Method: We solve this problem using clustering, unsupervised learning approach. It can automatically group bug reports together based on their textual similarity. We also propose a novel method to label each group with meaningful and representative names. Results: Experiment results show that our framework can achieve performance comparable to the supervised learning approaches. We also show that our labeling process can label each cluster with representative names according to its characteristic. Conclusion: Our framework could be used as an automated categorization system that can be applied without prior knowledge or as an automated labeling suggestion system.

DOI： 10.1109/IWESEP.2014.8

Web of Science

researchmap

バグモジュール予測を用いたテスト工数割り当て戦略のシミュレーション

中野大輔, 門田暁人, 亀井靖高, 松本健一

コンピュータソフトウェア 31 ( 2 ) 118 - 128 2014

Quantifying Programmers' Mental Workload during Program Comprehension Based on Cerebral Blood Flow Measurement: A Controlled Experiment

Takao Nakagawa, Yasutaka Kamei, Hidetake Uwano, Akito Monden, Kenichi Matsumoto, Daniel M. German

36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE COMPANION 2014) 448 - 451 2014

Language：English Publisher：ASSOC COMPUTING MACHINERY

Program comprehension is a fundamental activity in software development that cannot be easily measured, as it is performed inside the human brain. Using a wearable Near Infra-red Spectroscopy (NIRS) device to measure cerebral blood flow, this paper tries to answer the question: Can the measurement of brain blood-flow quantify programmers' mental workload during program comprehension activities? We performed a controlled experiment with 10 subjects; 8 of them showed high cerebral blood flow while understanding strongly obfuscated programs (requiring high mental workload). This suggests the possibility of using NIRS to measure the mental workload of a person during software development activities.

DOI： 10.1145/2591062.2591098

Web of Science

researchmap

On measuring the difficulty of program comprehension based on cerebral blood flow

Takao Nakagawa, Yasutaka Kamei, Hidetake Uwano, Akito Monden, Kenichi Matsumoto

Computer Software 31 ( 3 ) 270 - 276 2014

Language：Japanese Publisher：Japan Society for Software Science and Technology

In this research, we aim to quantify the difficulty of program comprehension during source code reading. We use Near Infra-Red Spectroscopy(NIRS) to measure the activation of brain. As a result of an experiment with 10 subjects, 8 of them showed a strong activation in the brain during reading of strongly obfuscated programs that are extremely difficult to comprehend. We also normalized the data for each participant and aggregated them for statistical testing. As a result of t-test, significant difference (p < 0.001) was seen in the mean of the brain blood flow between obfuscated and non-obfuscated programs.

DOI： 10.11309/jssst.31.3_270

CiNii Article

researchmap

On Measuring the Difficulty of Program Comprehension based on Cerebral Blood Flow

NAKAGAWA Takao, KAMEI Yasutaka, UWANO Hidetake, MONDEN Akito, MATSUMOTO Ken-ichi

Computer Software 31 ( 3 ) 270 - 276 2014

Language：Japanese Publisher：Japan Society for Software Science and Technology

DOI： 10.11309/jssst.31.3_270

CiNii Article

researchmap

Evaluation of Request For Proposal (RFP) Focusing on Non-Functional Requirements

SEC journal 10 ( 3 ) 30 - 37 2014

Assessing the Cost Effectiveness of Fault Prediction in Acceptance Testing

Akito Monden, Takuma Hayashi, Shoji Shinoda, Kumiko Shirai, Junichi Yoshida, Mike Barker, Kenichi Matsumoto

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING 39 ( 10 ) 1345 - 1357 2013.10

Language：English Publisher：IEEE COMPUTER SOC

Until now, various techniques for predicting fault-prone modules have been proposed and evaluated in terms of their prediction performance; however, their actual contribution to business objectives such as quality improvement and cost reduction has rarely been assessed. This paper proposes using a simulation model of software testing to assess the cost effectiveness of test effort allocation strategies based on fault prediction results. The simulation model estimates the number of discoverable faults with respect to the given test resources, the resource allocation strategy, a set of modules to be tested, and the fault prediction results. In a case study applying fault prediction of a small system to acceptance testing in the telecommunication industry, results from our simulation model showed that the best strategy was to let the test effort be proportional to "the number of expected faults in a module x log(module size)." By using this strategy with our best fault prediction model, the test effort could be reduced by 25 percent while still detecting as many faults as were normally discovered in testing, although the company required about 6 percent of the test effort for metrics collection, data cleansing, and modeling. The simulation results also indicate that the lower bound of acceptable prediction accuracy is around 0.78 in terms of an effort-aware measure, Norm(P-opt). The results indicate that reduction of the test effort can be achieved by fault prediction only if the appropriate test strategy is employed with high enough fault prediction accuracy. Based on these preliminary results, we expect further research to assess their general validity with larger systems.

DOI： 10.1109/TSE.2013.21

Web of Science

researchmap

学習データの時間的変化に伴う欠陥モジュール予測モデルの評価

内垣聖史, 伊原彰紀, 門田暁人, 松本健一

ソフトウェアエンジニアリングシンポジウム2013論文集 2013 1 - 2 2013.9

自主研究ソフトウェア保守改善に向けたデータ分析

角田雅照, 門田暁人, 松本健一

経済調査研究レビュー ( 13 ) 100 - 110 2013.9

開発要員数とその誤差を考慮した工数見積もり方法

角田雅照, 門田暁人, 松本健一

研究報告ソフトウェア工学（SE） 2013 ( 7 ) 1 - 6 2013.7

Language：Japanese Publisher：一般社団法人情報処理学会

数学的モデルに基づく工数見積もりでは，開発するソフトウェアの規模と生産性要因を説明変数として工数を見積もる．いくつかの先行研究では，開発要員数が工数見積もりモデルの説明変数として用いられている．要員数はプロジェクトの生産性との関連が強いことが指摘されており，要員数を説明変数として用いることにより，モデルの見積もり精度向上が期待できる．ただし，工数見積もり時における要員数は見積もり値であり，実績の要員数との誤差が生じることにより見積もり精度が低下する可能性がある．そこで本稿では要員数を用いた新たな見積もり方法を提案する．提案方法では，要員数が過去プロジェクト平均と比較して非常に小さいと見積もられた場合，要員数が小さいことを前提とするモデルを用いる．逆に，要員数が非常に大きいと見積もられた場合，要員数が大きいことを前提とするモデルを用いる．これらに当てはまらない場合，要員数を説明変数に含まないモデルを用いて工数を見積もる．評価実験において，要員数の誤差を実験的に変化させ，提案方法の見積もり精度を評価した．その結果，提案方法は要員数の誤差に対してロバストであり，特に要員数の誤差が不明な場合や誤差が大きい場合に有効に働くことがわかった．

CiNii Article

CiNii Books

researchmap

　 PREV - NEXT 　

< MONDEN Akito >

MISC - MONDEN Akito