September 2011
Intermediate to advanced
612 pages
15h 48m
Japanese
Content preview from Making Software ―エビデンスが変えるソフトウェア開発
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392
23
章 エビデンスに基づくエラー予測
はじめに
ソフトウェア組織は、自分たちの製品の品質について早期に評価を行うことで大きな利得が得られま
す。製品の品質に関する情報はプロセスの遅い時期に得られるため、それを修正する活動はコストが高
くなりがちです［
Boehm 1981
］。ソフトウェア工学用語の
IEEE
標準［
IEEE 1990
］では、ウォーター
フォール型ソフトウェア開発サイクルという用語は、「ソフトウェア開発プロセスのモデルで、構成要
素（通常はコンセプトフェーズ、要求フェーズ、設計フェーズ、実装フェーズ、テストフェーズ、設置・
引渡しフェーズ）がこの順番で、重なりはあるかもしれないが反復は（ほとんど）無しに実行されるもの」
として定義されています。開発サイクルの間に、製品の品質と関係し得るさまざまなメトリクスが収集
可能です。目標は、これらのメトリクスを用いて開発サイクルの早い段階、具体的には実装フェーズや
テストフェーズの段階で、リリース
後のエラーの見積もりを得ることです。そのような見積もりが行え
れば、たとえばテスト、コード、設計レビューの焦点を定めるのに役立ち、修正の道筋を示すことがで
きます。
メトリクスの選択は、たとえば分析に用いるメトリクス選択の重要度を客観的に評価する手法である
G-Q-M
原理［
Basili et al. 1994
］などの経験的手法に依存します。循環複雑度［
McCabe 1976
］などの
内部メトリックは、製品自体から導出される指標です。外部メトリックは、システムの動作に関する外 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.