RulePad: interactive authoring of checkable design rules
Sahar Mehrpour, Thomas D. LaToza, Hamed Sarvari
Abstract
Good documentation offers the promise of enabling developers to easily understand design decisions. Unfortunately, in practice, design documents are often rarely updated, becoming inaccurate, incomplete, and untrustworthy. A better solution is to enable developers to write down design rules which are checked against code for consistency. But existing rule checkers require learning specialized query languages or program analysis frameworks, creating a barrier to writing project-specific rules. We introduce two new techniques for authoring design rules: snippet-based authoring and semi-natural-language authoring. In snippet-based authoring, developers specify characteristics of elements to match by writing partial code snippets. In semi-natural language authoring, a textual representation offers a representation for understanding design rules and resolving ambiguities. We implemented these approaches in RulePad. To evaluate RulePad, we conducted a between-subjects study with 14 participants comparing RulePad to the PMD Designer, a utility for writing rules in a popular rule checker. We found that those with RulePad were able to successfully author 13 times more query elements in significantly less time and reported being significantly more willing to use RulePad in their everyday work.
• Software and its engineering → Software maintenance tools; • Human-centered computing → Interactive systems and tools.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext e2ebca62-2916-4d35-91ca-73566ed17c7aCited by top-tier papers1
Ask how each one uses itRelated papers
- Linting Style and Substance in READMEsHima Mynampaty, Nathania Josephine, Katherine E. Isaacs, Andrew M. McNuttCHI 2026 · 1 citation
- Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud ServicesDaye Nam, Andrew Macvean, Brad A. Myers, Bogdan VasilescuCHI 2024 · 5 citations
- Composing Flexibly-Organized Step-by-Step Tutorials from Linked Source Code, Snippets, and OutputsAndrew Head, Jason Jiang, James Smith, Marti A. Hearst et al.CHI 2020 · 29 citations
- Write Your Own Code Checker: An Automated Test-Driven Checker Development Approach with LLMsJun Liu, Yuanyuan Xie, Jiwei Yan, Jinhao Huang et al.ICSE 2026
- SQLCheck: Automated Detection and Diagnosis of SQL Anti-PatternsPrashanth Dintyala, Arpit Narechania, Joy ArulrajSIGMOD 2020 · 26 citations
