IFPUGは、コードの行の「統計的に信頼できない自然の出版を発表します’ クロストークマガジン

プリンストンジャンクション, NJ, 六月 5, 2005 - 国際ファンクションポイントユーザ会 (IFPUG) 最近、4月にジョー・スコフィールドでアーティクル 'コードの行の統計学的に信頼できない自然のの出版を発表しました。 2005 クロストーク. 氏によると、. スコフィールド, “This article suggests that the venerable line of code measure is a major factor in poorly scoped and managed projects because it is itself a vague, ambiguous, and unsuitable parameter for sizing software projects.” The data for this important article came from several Personal Software ProcessSM courses taught at Sandia National Laboratories in New Mexico. The demonstrated variation in LOC counts for programs that were written to the same specification (all programs were verified to have the same function point count), in the same language, verified by the same certified instructor, ranged from 2200 percent in the worst cases to 300 percent in the best cases. ザ・ 500+ data points came from 60+ 参加者. メアリー・ブラッドリー, President of IFPUG indicated, “Mr. Schofield’s article is an important addition to the software measurement body of knowledge. Anyone involved in measurement or estimation should read this article and understand the ramifications of using unreliable data.”

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