A Software Component Recommendation System Based on Development Context

基于开发上下文的软件组件推荐系统

• 批准号: 17300007
• 负责人: MATSUMOTO Kenichi
• 金额: $ 10.08万
• 依托单位: Nara Institute of Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2005
• 资助国家: 日本
• 起止时间: 2005 至 2007
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17300007/
• 关键词: birthmark; collaborative filtering; visualization of associations; software reuse; software development support; software metrics; open source software; ソフトウェアメトリクス

In modern software development, many of software products are built by combining existing software components and coding only minimal required features. However, selecting necessary components from a number of components is not easy. For instance, Java 2 SDK Standard Edition (J2SE) Version 1.41_02 is widely used by software developers and provides them with 5568 software components (basis classes). From our pilot experiments, we have found that only 4% of the software components of Java 2 SDK were used in typical software development. This result indicates additional coding is still much required, while a variety of software components are currently available to reuse.The goal of our study is to realize an efficient environment for components-based software development. Toward achieving the goal, in this research project, we constructed a system that recommends required software components to developers according to the context of software development. Especially we focused on developing the following elemental technologies:(A). Birthmark: a technology to analyze the development context which means the progress and/or completeness of development, features and/or structures of software itself, and so forth, by extracting the amount of characteristics from target software under development,(B). Collaborative Filtering: a technology to identity and recommend software components which have context similar to target software, and(C). Association Visualization: a visualization technology to provide developers with reasons why the system recommends software components to developers.We integrated the three technologies into a system and evaluated it.

在现代软件开发中，许多软件产品都是通过组合现有软件组件和仅编码最小所需功能来构建的。但是，从许多组件中选择必要的组件并不容易。例如，Java 2 SDK标准版（J2SE）版本1.41_02被软件开发人员广泛使用，并为其提供了5568个软件组件（基础类）。从我们的试点实验中，我们发现Java 2 SDK的软件组件中只有4％用于典型的软件开发。该结果表明仍然需要其他编码，而目前可以重复使用各种软件组件。我们的研究的目的是实现基于组件的软件开发的有效环境。为了实现目标，在这个研究项目中，我们构建了一个系统，该系统根据软件开发的背景为开发人员推荐所需的软件组件。特别是我们专注于开发以下元素技术：（a）。胎记：一种分析开发环境的技术，这意味着通过从开发目标软件中提取特征的开发，软件本身的特征和/或结构的进度和/或完整性，（b）。协作过滤：标识的技术并推荐具有类似于目标软件的上下文的软件组件，以及（c）。协会可视化：一种可视化技术，可为开发人员提供系统向开发人员推荐软件组件的原因。我们将这三种技术集成到了系统中并对其进行了评估。

项目成果

Supporting Software Requirements Elicitation as Collaboration among Heterogeneous Stakeholders

支持软件需求获取作为异构利益相关者之间的协作

• 发表时间: 2007
• 期刊: IEICE Transactions on Information and Systems Vol. J99-D, No. 12
• 作者: Akinori;Tsuji
• 通讯作者: Tsuji

Centrality Analysis for Understanding the Collaboration Process in OSS Community

用于理解 OSS 社区协作流程的中心性分析

• 发表时间: 2007
• 作者: Masao;Ohira
• 通讯作者: Ohira

Recommendation of Software Technologies Based on Collaborative Filtering

基于协同过滤的软件技术推荐

• 发表时间: 2005
• 期刊: Proc. of APSEC2005 Workshop on Supporting Knowledge Collaboration in Software Development
• 作者: Ikejima T;Piao ZX;Sako Y;Sato MO;Bao S;Si R;Yu F;Zhang C;Nakao M;Yamasaki H;Nakaya K;Kanazawa T;Ito A;Tomohiro Akinaga
• 通讯作者: Tomohiro Akinaga

Exploiting Eye Movements for Evaluating Reviewer's Performance in Software Review

利用眼动评估审阅者在软件审阅中的表现

• 发表时间: 2007
• 期刊: IEICE Transactions on Fundamentals Vol.J90-A, No.10
• 作者: Mamuti W;Sako Y;Nakao M;Xiao N;Nakaya K;Ishikawa Y;Yamsasaki H;Lightowlers MW;Ito A;Hidetake Uwano
• 通讯作者: Hidetake Uwano

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

• DOI: 10.1145/1082983.1083163
• 发表时间: 2005-05
• 期刊: ACM SIGSOFT Software Engineering Notes
• 作者: M. Ohira;Naoki Ohsugi;Tetsuya Ohoka;Ken-ichi Matsumoto