aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without…
Use when deciding whether a software-engineering project belongs at ASE (IEEE/ACM Automated Software Engineering) or should be routed to ICSE, ESEC/FSE, ISSTA, a PL venue, or an SE journal, and when distinguishing ASE by its automation-centric contribution shape, its
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-topic-selection --agent claude-codeHow it fires
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/ase-topic-selectionContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when deciding whether a software-engineering project belongs at ASE (IEEE/ACM Automated Software Engineering) or should be routed to ICSE, ESEC/FSE, ISSTA, a PL venue, or an SE journal, and when distinguishing ASE by its automation-centric contribution shape, its
name: ase-topic-selection description: Use when deciding whether a software-engineering project belongs at ASE (IEEE/ACM Automated Software Engineering) or should be routed to ICSE, ESEC/FSE, ISSTA, a PL venue, or an SE journal, and when distinguishing ASE by its automation-centric contribution shape, its tool/technique emphasis, and its AI4SE/SE4AI scope.
Decide the venue before drafting. ASE — the **IEEE/ACM International Conference on Automated Software Engineering** — is the home for research that **automates** software-engineering tasks: the analysis, design, implementation, testing, comprehension, and maintenance of software, and increasingly the two-way street of AI for SE and SE for AI. Its reviewers read for a **technique or tool that automates something**, evaluated on real subjects. A paper whose real center is a broad empirical observation, a testing-theory result, or a pure ML advance is respected and then rejected as off-center.
The decisive ASE question is not "is this SE?" but **"is the contribution an *automation* — a technique or tool that does an SE task a human or a weaker tool did before?"** If the beating heart of the paper is a new automated mechanism (an analysis, a generator, a synthesizer, a repair technique, a learned model applied to an SE task), ASE is a natural home. If the heart is a finding, a theory, or a measurement study, a sibling fits better — even when the topic overlaps.
| Signal in your project | Better home | Why | |---|---|---| | Core is a technique/tool that **automates** an SE task, evaluated on real systems | **ASE** | Automated software engineering is its named center; dual IEEE/ACM, IEEE-Xplore+ACM-DL proceedings | | Broad empirical or foundational SE contribution; the lesson is a finding, not a tool | **ESEC/FSE** | The general-SE flagship; PACMSE journal model, empirical breadth | | Equally broad SE technique, but ICSE's cycle/stage fits and you want its reach | **ICSE** | The other general-SE flagship; different calendar and (IEEE-side) format | | Depth in testing theory, program analysis foundations, or fault detection | **ISSTA** | Deeper testing/analysis expertise, round-based reviewing | | The automated mechanism *is* a program-language/compiler advance | **PLDI / OOPSLA / POPL** | PL venues own the language-mechanism contribution | | The contribution is a new model/architecture; the SE task is a benchmark | **an ML venue** | Model-as-contribution routes out of SE | | Study too long or too nuanced for the page budget | **TSE / TOSEM / EMSE** | Journals with no page ceiling; some feed ASE's Journal-First track |
repair, or comprehension technique, embodied in a tool and run on real systems against credible *tool* baselines (the TestEra / runtime-monitoring lineage in the exemplars library).
an honest comparison and effectiveness metric (the Tarantula fault-localization lineage).
models applied to a real SE task, where the *task* result, not the architecture, is the contribution (the code-clone-detection lineage).
maintain AI/ML systems; a growing ASE center of gravity.
track when the contribution is a usable artifact more than a research claim.
Two quick tests sharpen a borderline verdict:
stands as a contribution when the model is swapped. If the design (the analysis, the coupling, the oracle) survives, it is ASE-shaped; if only the model result remains, route to an ML venue.
paper, or to ISSTA as a testing-depth paper? If its heart is *automation machinery*, ASE fits; if its heart is a finding or testing theory, route accordingly.
evaluation (4 pages): groundbreaking, reflection, or late-breaking-advances.
[Scope] scan the last two ASE programs (dblp conf/kbse, conf.researchr.org) for your subarea
-> 3+ recent papers = a reviewer pool exists; 0 = opening or mismatch
[Shape] is your contribution a runnable automation, or a finding/theory? -> automation => ASE
[Citations] majority SE-automation venues (ASE/ICSE/FSE/ISSTA)? -> majority non-SE => naturalize first
[Calendar] compare the next ASE deadline with ICSE/FSE/ISSTA/journal dates -> nearest honest fit[Audience] who runs your automation if the claim holds? -> SE developers/testers/maintainers/tool-builders? [Claim type] technique+tool / automated-technique+evaluation / learning-based automation / AI4SE-SE4AI [Automation test] is a runnable mechanism the contribution? -> yes => ASE; no => FSE/ISSTA/PL/ML [Track check] full technique -> Research; bold early idea -> NIER; usable tool -> Tools & Datasets [Verdict] ASE
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
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