ASE Topic Selection
SkillDev toolsUse 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the ASE Topic Selection skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in ASE-Skills/skills/ase-topic-selection/SKILL.md and read by ahel’s review.
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 routing question that matters most
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.
Sibling-venue routing table
| 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 |
Contribution shapes ASE rewards
- Technique + tool + evaluation on real subjects — a new analysis, test-generation, synthesis, 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).
- Automated technique with a disciplined empirical evaluation — pairing an automatic method with an honest comparison and effectiveness metric (the Tarantula fault-localization lineage).
- Learning-based automation with the SE task as the point — learned code representations or models applied to a real SE task, where the task result, not the architecture, is the contribution (the code-clone-detection lineage).
- AI4SE / SE4AI — using AI to automate SE tasks, or applying SE automation to build, test, and maintain AI/ML systems; a growing ASE center of gravity.
- Tooling infrastructure and datasets — often routed to the co-located Tools and Datasets track when the contribution is a usable artifact more than a research claim.
The model-swap and re-label tests
Two quick tests sharpen a borderline verdict:
- Model-swap test: if your paper leans on an LLM or learner, ask whether the automation still 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.
- Re-label test: could this be submitted to FSE unchanged and read as a broad empirical SE 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.
Which co-located track fits
- Research Papers — a full technique/tool contribution with real-subject evaluation.
- NIER (New Ideas and Emerging Results) — a bold new direction not yet backed by a full evaluation (4 pages): groundbreaking, reflection, or late-breaking-advances.
- Tools and Datasets — a usable tool or dataset as the contribution (short, demo-oriented).
- Journal-First — work already accepted at TSE/TOSEM/EMSE (after 1 Jan 2025) presented at ASE.
- Industry Showcase / Doctoral Symposium — practitioner results and PhD-stage work.
Cheap reconnaissance before committing
[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
Decision procedure
[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 research track / co-located track / sibling venue / journal, with a one-line reason
Run this before the writing skills; a wrong venue decision wastes every later step. When the
verdict is ASE, continue with ase-workflow for the calendar and ase-writing-style for the paper
shape.
Signals
- GitHub stars
- 1k
- Forks
- 146
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
ase-topic-selection- Source
- github.com/brycewang-stanford/awesome-journal-skills