Detecting Bad Smells of Refinement in Goal-Oriented Requirements Analysis

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Abstract

Goal refinement is a crucial step in goal-oriented requirements analysis to create a goal model of high quality. Poor goal refinement leads to missing requirements and eliciting incorrect requirements as well as less comprehensiveness of produced goal models. This paper proposes a technique to automate detecting bad smells of goal refinement, symptoms of poor goal refinement. Based on the classification of poor refinement, we defined four types of bad smells of goal refinement and developed two types of measures to detect them: measures on the graph structure of a goal model and semantic similarity of goal descriptions. We have implemented a support tool to detect bad smells and assessed its usefulness by an experiment.

Related papers

This work builds on

• Technical Meeting ゴール指向要求分析法における不適切なゴール詳細化の検出 電子情報通信学会技術研究報告, 2017

Continued in

• International Journal Automating Bad Smell Detection in Goal Refinement of Goal Models IEICE Transactions on Information and Systems, 2022

BibTeX

@inproceedings{k_asano-mreba2017,
    author = {Keisuke Asano and Shinpei Hayashi and Motoshi Saeki},
    title = {Detecting Bad Smells of Refinement in Goal-Oriented Requirements Analysis},
    booktitle = {Proceedings of the 4th International Workshop on Conceptual Modeling in Requirements and Business Analysis},
    pages = {122--132},
    doi = {10.1007/978-3-319-70625-2_12},
    year = 2017,
}