Skip to content
Content
Skill

/ase-related-work

Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.

From plugin
awesome-journal-skills
965200 skills
Install
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-related-work --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/ase-related-work

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.

SKILL.md

ase-related-work.SKILL.md
name: ase-related-work
description: Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.

ASE Related Work

Position the paper against **prior automation**, not against a topic. At ASE the question a reviewer holds is "what does this tool/technique do that the existing automated approaches do not?" — so related work is a **delta argument**, and the strongest deltas are stated against named, runnable prior tools you can (and often must) compare against empirically.

Cover the ASE literature lanes

An automated-SE paper usually sits at the intersection of several lanes; name your position in each that applies:

  • **Program analysis** — static/dynamic analysis, symbolic/concolic execution, abstract

interpretation, invariant inference.

  • **Test generation and testing** — search-based, specification-based, fuzzing, regression and

flaky-test handling.

  • **Fault localization, debugging, and repair** — spectrum-based localization, automated program

repair, patch synthesis.

  • **Synthesis and recommendation** — program/code synthesis, API recommendation, refactoring

automation.

  • **Comprehension and documentation** — summarization, code search, clone and change analysis.
  • **Learning-based / AI4SE** — learned code representations, models applied to SE tasks, LLM-based

automation — and **SE4AI**, applying SE automation to ML systems.

Delta-first positioning

Write each related-work cluster as: *prior automation X does A; it cannot do B because C; we do B.* Then, where B is comparable, **compare against X empirically** — ASE reviewers expect a head-to-head against the closest runnable baseline, not just a prose distinction.

[Cluster] spectrum-based fault localization
  Prior: ranks statements by suspiciousness from pass/fail spectra.
  Gap: assumes a fixed test suite; degrades when tests are flaky.
  Delta: our technique estimates and corrects for flakiness before ranking.
  Evidence of delta: head-to-head on the same faulty subjects, §5.2, Table 3.

Fair head-to-head framing (the ASE credibility test)

  • Compare against the **strongest, most recent** automated baseline you can run, at an **equal,

documented budget** (time, iterations, tuning). An under-configured baseline is the classic soundness objection and a Revision criterion waiting to happen.

  • If a baseline tool cannot run on your subjects, say why explicitly and choose the nearest viable

alternative — do not quietly omit the obvious competitor.

  • Distinguish **reimplementation** from the original tool, and note version/commit — reviewers who

built the baseline will check.

Distinguish ASE from sibling-venue prior work

Because automated-SE ideas appear across venues, position precisely: a testing-theory result may live at ISSTA, a broad empirical study at FSE, a language mechanism at a PL venue. When you cite across venues, make the ASE delta — *the automation you add* — explicit, so a reviewer does not read your contribution as a reheated sibling-venue result.

Double-anonymous self-citation

  • Cite your own prior tools and papers in the **third person** ("Prior work by [Anonymous] proposed

...", or neutrally "The X tool [12] ...") so the citation does not deanonymize you.

  • Do not write "our earlier tool" or link to a repository whose owner is you.
  • Keep the count of self-citations honest; a cluster of third-person citations to one hidden group

is itself a leak.

Coverage checks

[Recency]   at least the last 2-3 years of ASE/ICSE/FSE/ISSTA automation in your subarea cited?
[Closest baseline] is the single most similar runnable tool named AND compared, not just cited?
[Cross-venue] PL/ML/testing neighbors positioned so your automation delta is explicit?
[Anonymity] every self-citation in the third person; no repository ownership revealed?
[Honesty]   any obvious competitor conspicuously missing? (a reviewer will notice)

Output format

[Lanes] which automated-SE lanes the paper touches
[Delta table] prior tool -> what it does -> gap -> your delta -> where the head-to-head lives
[Baseline fairness] closest runnable baseline named, version pinned, equal budget?
[Anonymity check] self-citations third-person, no repo owner revealed
Read more
Ships withawesome-journal-skills

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

Get the whole plugin
Stats
965
Stars
121
Forks
Active
Maintenance
Stata
Language
MIT
License
13h ago
Last commit
2mo ago
Created

Repo: brycewang-stanford/Awesome-Journal-Skills

Other skills on awesome-journal-skills.