一句话：通过混合方法实证研究故事点不稳定性，并计划预测未来故事点与信息变化，以提升敏捷估算稳定性。
敏捷开发团队在冲刺计划中需要估算工作项的工作量（Story Points），可靠的估算有助于制定可靠的冲刺计划。已有自动化估算方法在相关信息变化时可能失准；尤其冲刺计划制定后估算发生变化，会使计划失效并浪费团队时间。该论文旨在遵循敏捷的即时实践，提高 Story Points 估算的稳定性。作者首先采用混合方法实证研究，调查 Story Points 不稳定性可能造成的影响；随后计划开发预测未来 Story Points 变化与未来信息变化的方法，以帮助团队在最终确定冲刺计划时应对不确定性。摘要未报告具体实验结果。
An Agile development team estimates the effort of a work item to plan a sprint (i.e., an iteration in Scrum). Hence, reliable effort estimation would help the team create a reliable sprint plan. Prior studies proposed automated approaches to help the team to estimate the effort accurately. However, the effort estimated by the previously proposed approaches may become inaccurate when the related information is changed. Especially when the estimated effort is changed after the sprint has been planned, the sprint plan may be invalidated and the team might waste their time and effort spent in planning. This thesis aims to help the Agile development team improve the stability of effort estimation (in the Story Points unit) while aligning with the just-in-time practice of Agile. Hence, we first conduct empirical studies using mixed-methods approaches to investigate the potential impact of instability of Story Points. To help an Agile team to achieve reliable effort estimation with optimal effort, we will develop approaches to predict the future Story Points changes and the future information changes to help the team cope with uncertainty when finalizing the sprint plan.
DOI 原文 ·
@inproceedings{paperbot6318,
title = {Investigating documented information for accurate effort estimation in agile software development},
author = {Jirat Pasuksmit},
booktitle = {FSE},
year = {2021},
doi = {10.1145/3468264.3473106}
}