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A comprehensive guide for authors transitioning an accepted OOPSLA conference paper into a journal article for PACMPL. It details crucial steps including formatting changes, de-anonymization, updating Data-Availability Statements, managing author identities (ORCID), handling ACM open-access rights, and preparing for the associated presentation talk (SPLASH).

This guide provides a framework for designing and auditing the experimental rigor of academic papers, particularly in systems and programming languages. It emphasizes the crucial link between a claim type (e.g., 'Faster') and the required evidence type (e.g., benchmarks, user studies, formal proofs). Learn how to establish robust baselines, define clear workload rules, size experiments for conference cycles, and ensure statistical compliance for maximum impact.

A comprehensive guide for authors preparing the 'Related Work' section for top-tier academic conferences focused on programming languages, such as OOPSLA. It details rigorous citation standards (PACMPL journal format), mandates comprehensive venue coverage (POPL, PLDI, ICFP, etc.), and emphasizes identifying precise technical differences ('deltas') between the proposed work and existing literature, moving beyond mere inventory listing.

This guide provides comprehensive best practices for achieving scientific reproducibility in systems and programming language papers, following stringent SIGPLAN guidelines. It details the necessary rigor for documenting hardware, managing complex runtime measurements (like JIT warmup and variance), and maintaining a detailed, machine-readable provenance ledger and data-availability statement.

A comprehensive guide detailing the multi-stage, double-anonymous review process used at major academic conferences like OOPSLA. It explains the four possible outcomes (Accept, Minor/Major Revision, Reject), the mechanics of 'round-hopping' between submission volumes, and provides strategic advice on how to write author responses and manage revision expectations to maximize publication chances.

A comprehensive guide detailing the strategic and technical requirements for submitting research papers to major conferences like OOPSLA. It covers critical steps such as selecting the correct submission round, adhering to strict formatting rules (e.g., page limits), proactively maintaining double-anonymity, properly filing Data-Availability Statements, and managing complex revision or concurrent submissions to maximize acceptance chances.

This comprehensive guide assists reviewers and authors in determining the most appropriate venue for programming language research within the SIGPLAN community. It provides a detailed 'center-of-mass' test, helping categorize contributions based on whether they emphasize metatheory (POPL), performance engineering (PLDI), functional techniques (ICFCP), or the broad design scope characteristic of OOPSLA. It guides the decision-making process for academic submissions.

This comprehensive guide outlines the entire lifecycle of submitting and revising academic papers for major conferences like OOPSLA. It details strategic decisions, such as choosing between October or March submission rounds, managing the state machine (Accept, Minor, Major Revision, Reject), budgeting time for necessary revisions, and planning post-publication artifacts and talks. Essential for academic research teams.

A comprehensive guide for authors aiming to submit top-tier technical papers (like those for OOPSLA). It teaches how to transform descriptive drafts into highly verifiable, structured academic arguments. Focus areas include developing running examples, articulating falsifiable claims, optimizing article pacing, and anticipating reviewer challenges to maximize the chances of acceptance.

This guide details how to structure and write the 'Related Work' section for highly competitive academic venues like PLDI. It emphasizes moving beyond simple citation listings by forcing the author to identify and articulate the specific technical 'delta' (improvement) their paper provides over every prior technique, while also covering inter-conference comparisons and proper bibliography formatting.

This guide provides a detailed framework for researchers to determine the most suitable venue (e.g., PLDI, POPL, OOPSLA) for their programming language or systems research paper. It guides authors on whether their core evidence lies in theoretical proofs, working implementations with benchmarks, or empirical usage studies, ensuring optimal submission routing and maximizing acceptance chances.

This guide helps researchers determine the optimal venue (like POPL, PLDI, OOPSLA) for their academic papers on programming languages. It advises authors on whether their core contribution is theoretical (proofs, semantics), implementation-focused (compilers, benchmarks), or empirical (user studies), ensuring their work reaches the most appropriate specialized reviewer community.