Machine Learning to Evaluate Evolvability Defects: Code Metrics Thresholds for a Given Context accepted for QRS 2018 (CORE Rank B)(acceptance rate 33/171 =19%)

Naohiko Tsuda, Hironori Washizaki, Yoshiaki Fukazawa, Yuichiro Yasuda and Shunsuke Sugimura, “Machine Learning to Evaluate Evolvability Defects: Code Metrics Thresholds for a Given Context,” The 18th IEEE International Conference on Software Quality, Reliability & Security (QRS 2018), July 16 – 20, 2018, Lisbon, Portugal (CORE Rank B)(acceptance rate 33/171 =19%)

Improved Searchability of Bug Reports Using Content-based Labeling with Machine Learning of Sentences accepted for JCKBSE 2018

Yuki Noyori, Hironori Washizaki, Yoshiaki Fukazawa, Hideyuki Kanuka, Keishi Ooshima, Ryosuke Tsuchiya, “Improved Searchability of Bug Reports Using Content-based Labeling with Machine Learning of Sentences,” 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE’18), August 27-30 2018, Ionian University, Corfu, Greece

スマートエスイーが雑誌「カレッジマネジメント」に取り上げられました

リクルートさんの雑誌「カレッジマネジメント」最新号 人生100年時代の社会人教育にてenPiT-Proの紹介があり、その中でもスマートエスイーが大きく取り上げられました。ぜひご覧ください。

成長分野を支える情報技術人材の社会人教育 – enPiT-Proの狙いと取組み、リクルート カレッジマネジメント、210号、2018年5-6月

Security Requirement Modeling Support System using Software Security Knowledge Base, accepted for 6th IEEE International COMPSAC Workshop on Architecture, Design, Deployment and Management of Networks and Applications (ADMNET 2018)

Atsuo Hazeyama, Shun’ichi Tanaka, Takafumi Tanaka, Hiroaki Hashiura, Seiji Munetoh, Takao Okubo, Haruhiko Kaiya, Hironori Washizaki, Nobukazu Yoshioka, “Security Requirement Modeling Support System using Software Security Knowledge Base,” 6th IEEE International COMPSAC Workshop on Architecture, Design, Deployment and Management of Networks and Applications (ADMNET 2018), Tokyo, July 23-27, 2018.

Characteristics of source code degrading quality in software development by multiple organizations, accepted for IEEE/ACIS BCD 2018

Ryo Ishizuka, Naohiko Tsuda, Hironori Washizaki, Yoshiaki Fukazawa, Shunsuke Sugimura and Yuichiro Yasuda, “Characteristics of source code degrading quality in software development by multiple organizations,” 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (BCD 2018), July 10 – 12, 2018, Yonago, Japan

In software developments, the development organization may change due to various reasons such as cost reduction and retiring developers. The quality of software developed by multiple organizations is generally low, leading to problems such as difficulty in the evolving source code. Here, we show the characteristics of the source code prone to defects and the difference in editing tendencies of source codes among development organizations. We investigated the changes in the relationship of software metrics and the number of defects. Then we compared the results and editing tendencies for refactoring and evolving software in OpenOffice.org, which is developed by multiple companies, and a tool developed by outsourcing. Defects tend to concentrate on files that depend on many other files. Additionally, the code review confirms that refactoring before and after the development organization changes is important for future developments.

SEC journalに採択「国際規格に基づく総合的なソフトウェア品質評価枠組みとその実製品適用による品質ベンチマーク」

鷲崎弘宜，津田直彦，本田澄，中井秀矩，深澤良彰，東基衛, 込山俊博, 中野正，鈴木啓紹, “国際規格に基づく総合的なソフトウェア品質評価枠組みとその実製品適用による品質ベンチマーク”, SEC journal, 2018. (to appear)

ソフトウェア製品の品質を業界の中で定量的に明らかとし改善可能とするため，多面的な品質を測定評価する共通の仕組みが必要である．我々は国際規格SQuaRE（Systems and software Quality Requirements and Evaluation）シリーズの具体化により，製品によらず共通に製品品質と利用時品質を総合的に測定評価可能な枠組みを実現した．さらに枠組みを21製品に実適用し，品質特性別の傾向，品質特性間の関係，利用時品質・製品品質間の関係，および製品コンテキストと品質特性の関係の一端を，適用した範囲において明らかとし，品質ベンチマークとして公開した．