Data and results for the paper: "From Bugs to Benefits: Leveraging Crowd-Sourced Issue Data to Improve User Stories with CrUISE-AC"

This page provided the following files used in the study "From Bugs to Benefits: Leveraging Crowd-Sourced Issue Data to Improve User Stories with CrUISE-AC". domain_thesaurus.json: basic manually created thesaurus for terms that are used in the eCommerce domain. Words are POS tagged ($n for nouns, $v for verbs and $a for adjectives). Composites are combined by underscore. Generated Acceptance Criteria.xlsx: automatically generated and assessed acceptance criteria along with a manual approval. The columns are ID: unique ID of the user story Connextra: user story written in connextra pattern "As a [role], I [what], {so I [benefit]}" Acceptance Criteria: Acceptance criteria that supported the user story originally Metric class: class of user story determined by CrUISE-score metric IssueID: unique ID of an issue, the acceptance criteria was generated from Issue Text Preprocessed: the issue text after beeing preprocessed is supposed to contain requirement-relevant information only Generated Acceptance Criteria: Gherkin-style acceptance criteria generated from [Issue Text Preprocessed] Explanation: Explanation generated by GPT-4 Turbo why this acceptance criteria is a valuable and non-trivial addition to the user story and its original AC Relevant: 1 if manual inspection approved this acceptance criteria as valuable and non-trivial, otherwise 0本页面提供了研究《从缺陷到价值：利用众包缺陷工单数据优化用户故事的CrUISE-AC方法》中所使用的以下文件。 domain_thesaurus.json：电子商务领域专用基础手动构建词表，所有词汇均标注了词性（$n代表名词、$v代表动词、$a代表形容词），复合词汇以下划线连接。 Generated Acceptance Criteria.xlsx：该文件包含经自动生成与评估的验收标准（acceptance criteria），并附带人工审核结果。其列字段如下： - ID：用户故事（user story）的唯一标识符 - Connextra（Connextra）：采用该格式撰写的用户故事，格式为"As a [role], I [what], {so I [benefit]}"，即“作为[角色]，我[执行动作]，以便获得[收益]” - Acceptance Criteria：原用户故事配套的验收标准 - Metric class：通过CrUISE-score指标判定的用户故事类别 - IssueID：生成该验收标准所依据的缺陷工单唯一标识符 - Issue Text Preprocessed：经预处理后的工单文本，仅保留与需求相关的信息 - Generated Acceptance Criteria：从[Issue Text Preprocessed]生成的、采用Gherkin（Gherkin）格式的验收标准 - Explanation：由GPT-4 Turbo生成的说明文本，用于解释该验收标准为何是对用户故事及其原验收标准的有效且有价值的补充 - Relevant：若经人工审核确认该验收标准有效且具备实用价值，则标注为1；否则标注为0