Skill UI

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.

A comprehensive strategic guide for authors targeting the International Conference on Software Engineering (ICSE). It assists in assessing manuscript fit, refining the narrative, and strengthening empirical evidence (e.g., benchmarks, tools, artifacts) to meet the rigorous standards of top-tier SE conferences. Use this to re-frame scholarly work from journal or arXiv styles into a selective conference narrative.

This skill provides a comprehensive guide for authors determining the fit of their empirical software engineering (SE) manuscript for the International Symposium on Empirical Software Engineering and Measurement (ESEM). It helps authors rigorously check the study design, evidence bar, proper framing, and necessary re-framing required to transform a journal or arXiv-style paper into a high-quality conference submission suitable for ESEM reviewers. It focuses on measurement validity, experimental rigor, and evidence synthesis.

A comprehensive guideline for establishing and documenting the reproducibility of complex sensor-systems artifacts. It covers necessary components such as firmware sources, detailed hardware Bills of Materials (BOMs) and board files, raw sensor traces, ground truth data, and calibrated measurements. Use this guide to ensure that scientific claims can be verified by a competent reader, detailing the exact dependencies on physical equipment and software toolchains.

This guide provides expert advice on positioning research papers for top-tier computer architecture conferences (e.g., ISCA, MICRO, ASPLOS). It teaches authors how to identify the 'center-of-gravity' of their novelty—whether it lies in the hardware organization, the hardware/software contract, or the software layer alone—to maximize review acceptance chances and successfully navigate the competitive academic publication landscape.

This guide provides comprehensive guidelines for designing, conducting, and auditing empirical studies in software engineering. It emphasizes achieving scientific rigor by matching every claim to specific, measured evidence, ensuring fair baselining (equal budget), and applying appropriate advanced statistics (non-parametric tests, effect sizes). Essential reading for researchers submitting papers based on performance evaluations.

A guide for authors submitting research in software testing and analysis. It teaches how to structure the related work section to clearly demonstrate novelty and technical positioning. Authors must frame their contribution using a 'delta-first' approach, explicitly stating what the nearest existing technique lacks and how their work fills that gap, while also being vigilant about venue attribution and overlapping prior work.

Provides comprehensive guidelines for achieving high reproducibility and verifiability in academic research submissions, particularly for software analysis, fuzzing, and bug finding. It details the necessity of pinning substrates (like benchmark versions and program SHAs), fixing stochastic parameters (seeds and budgets), and mapping every empirical claim to verifiable evidence to meet stringent academic evaluation criteria.

This guide helps researchers determine the optimal conference or journal venue for their software engineering contribution. It specifically addresses whether the core of the work is a testing or analysis technique evaluated on real subjects (ISSTA), or if it fits better within broader Software Engineering (ICSE/FSE), formal verification (PLDI/CAV), or applied domains.

A comprehensive guide for econometricians submitting manuscripts to top journals. It details how to structure analyses for full reproducibility, including using master scripts, pinning software versions, and exporting results to plain-text formats. Coverage includes advanced robust inference techniques such as HAC, cluster bootstrapping, and weak-IV diagnostics, ensuring the work satisfies rigorous archival standards.

A comprehensive guide for ensuring the reproducibility of communications simulations for journal submissions. It details critical steps, such as fixing random seeds, channel models, simulation parameters, software versions, and organizing a complete reproduction package. This ensures that research results can be accurately and credibly verified by external reviewers in high-impact scientific journals.

A comprehensive guide for authors submitting to the Journal of Software (JOS), clarifying the current status and best practices for including reusable code and data artifacts. It distinguishes JOS's approach from mandatory international conference badging systems, focusing instead on making reproducibility a strong, proactive addition to your submission.