Skill UI

A comprehensive pre-submission audit checklist for IEEE ICSME conference papers. Covers critical lifecycle steps including the abstract-then-paper two-step deadline, adherence to IEEE two-column formatting and page budgets, maintaining double-anonymous identity, and incorporating open science requirements like data availability statements and artifact links.

This guide provides stringent rules and structural advice for authors tackling academic papers, particularly in the domain of software maintenance and evolution. It emphasizes leading with the maintenance problem, stating research questions as contractual measurements, pairing every claim with proportional evidence, and rigorously discussing threats to validity. Use this when revising academic submissions to ensure maximum impact and technical rigor for the field.

A comprehensive tool designed to help authors assess the suitability and optimal framing of their manuscripts for the IEEE/ACM International Conference on Automated Software Engineering (ASE). It guides the structuring of contributions, required evidence (runnable artifacts, benchmarks), and positioning relative to core SE concepts like program analysis, testing, and AI-assisted development. Use this guide to strategize conference submissions and strengthen the academic narrative.

This guide details the comprehensive process for preparing security research artifacts for post-acceptance evaluation at major conferences like IEEE S&P. It covers the three types of evaluation badges (Available, Functional, Results Reproduced), strict handling constraints for exploits and malware, and best practices for packaging the submission (e.g., Dockerfiles, README structure) to ensure external evaluators can reliably reproduce findings within a limited time frame.

This guide provides rigorous standards for designing, validating, and reporting security research, particularly for high-stakes academic conferences like IEEE S&P. It covers critical areas including adaptive adversary modeling, measurement validity (sampling, ethics), statistical reporting, establishing strong baselines/ablations, and adhering to ethical constraints (IRB, authorization) to ensure evidence is robust and reproducible.

This comprehensive guide details the strict content partitioning rules for preparing papers for top-tier security conferences like IEEE S&P. It advises authors on differentiating between core claims (which must live in the limited body pages) and verification material (which belongs in the appendix), ensuring adherence to strict page limits and review expectations.

This guide provides a structured methodology for positioning academic research manuscripts, particularly for top-tier journals like the International Economic Review (IER). It teaches authors how to articulate a novel contribution (the 'delta') by defining the current academic frontier, identifying consequential gaps, and demonstrating how their work is both methodologically rigorous and generally applicable, thus justifying its placement against competing publications.

This guide outlines best practices for packaging research artifacts (code, data, proofs, models) submitted for major AI conferences like IJCAI. It helps researchers create convincing, anonymous, and reproducible evidence to support their claims, even when formal artifact evaluation tracks are unavailable.

A comprehensive checklist and guide for authors preparing their accepted research papers for final publication (camera-ready). This process involves de-anonymization, restoring full author details, updating copyright and metadata, ensuring formal formatting, and managing the release of promised artifacts and code for reproducibility.

Provides comprehensive guidelines for authors submitting to major AI conferences. It helps authors audit originality, properly cite prior art (including preprints, workshop papers, and rejected versions), manage dual-submission risks, and transform the related work section from a mere list into a compelling, novel argument that clearly positions the contribution.

This guide offers detailed guidelines for assembling and auditing supplementary materials for top-tier AI conferences (e.g., IJCAI). It covers critical aspects like separating the technical appendix from resubmission files, ensuring anonymity across all artifacts, maintaining the self-contained nature of the core paper, and managing source code and data for maximum reproducibility.

A comprehensive project management skill designed for authors planning submissions to major AI conferences (like IJCAI). This guide outlines the critical milestones, dependencies, and risk checkpoints, guiding the team from initial venue fit through abstract registration, full-paper upload, review responses, and final presentation artifact release. It ensures all deadlines and author requirements are met to maximize acceptance chances.