AGILE ESTIMATIONS: EMPIRICAL STUDY USING WEIGHTED COMPLEXITY FACTORS

IF 0.2 Q4 MULTIDISCIPLINARY SCIENCES Suranaree Journal of Science and Technology Pub Date : 2023-10-09 DOI:10.55766/sujst-2023-04-e0737
Ravi Kiran Mallidi, Manmohan Sharma
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Abstract

Software time and cost estimates are always challenging due to the quickly changing software process. Especially Agile project estimations are complex, and the story points differ from person to person. Due to the person-to-person variations, project managers have difficulty arriving at the project cost for development projects with different sizes or complexity of systems/software. This paper proposes a new estimation model named the WEighted COmplexity Factor Estimation (WECOFE) Model to reduce the complexities of Agile story point estimations. Weighted complexities factors identify Low, Moderate, and High Project Level Factors and Story Level Factors. For each level, multiple factors were defined. Derived Weighted complexity based on Project, Requirement, and Resource Level factors. Each story's point estimation is explained based on weighted complexity defined and assigned factors values. Conducted study on various industry projects, showing that the WECOFE approach is promising by observing the Magnitude of Relative Error (MRE) and Mean Magnitude of Relative Error (MMRE). Also, performed a t-test for one sprint project with 51 stories, and paired sample means are equal for WECOFE with actual story points spent by the team.
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敏捷评估:使用加权复杂性因素的实证研究
由于快速变化的软件过程,软件时间和成本估算总是具有挑战性的。特别是敏捷项目评估是复杂的,并且故事点因人而异。由于人与人之间的差异,对于具有不同规模或系统/软件复杂性的开发项目,项目经理很难得出项目成本。为了降低敏捷故事点估算的复杂性,本文提出了加权复杂度因子估算模型(WECOFE)。加权复杂性因素确定低、中、高项目级别因素和故事级别因素。对于每个水平,定义了多个因素。基于项目、需求和资源层次因素的加权复杂度。每个故事的点估计是基于加权复杂性定义和分配的因子值来解释的。对多个行业项目进行了研究,通过观察相对误差幅度(MRE)和平均相对误差幅度(MMRE),表明WECOFE方法是有前途的。同样,对一个包含51个故事的sprint项目进行了t检验,并且配对样本均值对于团队花费的实际故事点的WECOFE是相等的。
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来源期刊
Suranaree Journal of Science and Technology
Suranaree Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
0.30
自引率
50.00%
发文量
0
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