Skill UI

This guide provides comprehensive best practices for authors submitting software artifacts to academic venues like ICSME. It details how to structure packages, track provenance, and document code to achieve the IEEE Open Research Object and Research Object Reviewed badges. Learn how to design for rigorous, reproducible evaluation by evaluators in a bounded time frame.

A comprehensive guide for authors targeting the IEEE International Conference on Data Engineering (ICDE). This skill helps assess venue fit, re-frame manuscripts from journal/arXiv styles, and structure papers for top CS conferences. It details required evidence (system architecture, realistic workloads) and best practices for positioning contributions in data engineering, database systems, and analytics.

This guide assists authors with positioning their computer science manuscripts for the IEEE International Conference on Software Maintenance and Evolution (ICSME). It details the core scope, including software maintenance, evolution, refactoring, and technical debt, and provides best practices for structuring submissions. It emphasizes the need for real repository evidence, actionable engineering insights, and proper differentiation from related venues like SANER or ICSE.

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.

This guide details best practices for revising technical papers submitted to top AI conferences (e.g., IJCAI). It teaches authors how to structure their work to maximize clarity, emphasize broad AI significance, and ensure the paper is self-contained and accessible to a diverse, cross-disciplinary review committee.

This guide outlines best practices for packaging complex research artifacts—including simulators, codebases, and datasets—to maximize credibility and reproducibility. It is essential for authors publishing in venues like INFOCOM where formal artifact evaluation tracks are not mandatory. Learn how to structure your submission to build reviewer trust and ensure your findings can be independently verified.

A comprehensive guide for authors targeting the International Symposium on Research in Attacks, Intrusions and Defenses (RAID). This skill helps authors optimize their paper's positioning, strengthen the evidence chain (focusing on operational relevance and realistic evaluation), and structure submissions to meet the rigorous standards of top-tier cybersecurity conferences, thereby maximizing acceptance chances. It covers scope alignment, contribution types, and structural best practices.

This comprehensive guide outlines established best practices for developing robust, high-quality applications using Helidon 4 (SE and MP) in Java 21+. It covers API migrations, project structure, dependency management, and architectural patterns for both MicroProfile and standalone services, ensuring adherence to modern Jakarta EE standards and scalable web development patterns.

Provides comprehensive guidelines for crafting professional, academically rigorous tables and figures for top-tier economics journals (like JEEA). This guide covers best practices for presenting empirical results, instructing users on how to structure clean tables (three-line format), replace significance stars with standard errors/confidence intervals, and design effective event-study or model-fit visualizations to ensure the core claim is instantly readable.

This guide provides comprehensive best practices for authors submitting software-related papers to academic journals. It details how to ensure experimental results are fully reproducible and verifiable by peers, covering data/code availability, environment dependency fixing, random seed control, and proper artifact organization for submissions.

This skill guides authors to evaluate if their consumer behavior manuscript meets the high theoretical and methodological standards of the Journal of Consumer Research (JCR). It focuses on assessing the theoretical contribution, the necessity of multi-study process evidence (mediation/moderation), and adherence to academic publishing best practices, helping authors refine their framing and anticipate desk-reject risks before submission. Note: This is a guide, not a substitute for official submission guidelines.

This comprehensive skill guides researchers through assessing whether their operations and supply chain manuscript meets the rigorous standards of the Journal of Operations Management (JOM). It covers key areas including theoretical framing, empirical rigor (e.g., common-method bias, identification), structural best practices, and common desk-reject triggers, helping authors refine their work for high-impact academic publishing.