PLDI Research Artifacts

Background

A paper consists of a constellation of artifacts that extend beyond the document itself: software, proofs, models, test suites, benchmarks, and so on. In some cases, the quality of these artifacts is as important as that of the document itself, yet most of our conferences offer no formal means to submit and evaluate anything but the paper.

Following a trend in our community over the past many years, PLDI 2025 includes an Artifact Evaluation process, which allows authors of accepted papers to optionally submit supporting artifacts. The goal of artifact evaluation is two-fold: to probe further into the claims and results presented in a paper, and to reward authors who take the trouble to create useful artifacts to accompany the work in their paper. Artifact evaluation is optional, but highly encouraged, and authors may choose to submit their artifact for evaluation only after their paper has been accepted.

The evaluation and dissemination of artifacts improves reproducibility, and enables authors to build on top of each other’s work. Beyond helping the community as a whole, the evaluation and dissemination of artifacts confers several direct and indirect benefits to the authors themselves.

The ideal outcome for the artifact evaluation process is to accept every artifact that is submitted, provided it meets the evaluation criteria listed below. We will strive to remain as close as possible to that ideal goal. However, even though some artifacts may not pass muster and may be rejected, we will evaluate in earnest and make our best attempt to follow authors’ evaluation instructions.

Evaluation Criteria

The artifact evaluation committee will read each artifact’s paper and judge how well the submitted artifact conforms to the expectations set by the paper. The specific artifact evaluation criteria are:

• Consistency: the artifact should be relevant to the paper and can in principle reproduce the main results reported in the paper.
• Completeness: the artifact can in principle reproduce all the results that the paper reports, and should include everything (code, tools, 3rd party libraries, etc.) required to do so.
• Documentation: the artifact should be well documented so that generating the results is easy and transparent.
• Ease of reuse: the artifact provides everything needed to build on top of the original work, including source files together with a working build process that can recreate the binaries provided.

Note that artifacts will be evaluated with respect to the claims and presentation in the submitted version of the paper, not the camera-ready version.

Badges

The artifact evaluation committee evaluates each artifact for the awarding of one or two badges:

Functional: This is the basic “accepted” outcome for an artifact. An artifact can be awarded a functional badge if the artifact supports all claims made in the paper, possibly excluding some minor claims if there are very good reasons they cannot be supported. In the ideal case, an artifact with this designation includes all relevant code, dependencies, input data (e.g., benchmarks), and the artifact’s documentation is sufficient, in principle, for reviewers to reproduce the exact results described in the paper. If the artifact claims to outperform a related system in some way (in time, accuracy, etc.) and the other system was used to generate new numbers for the paper (e.g., an existing tool was run on new benchmarks not considered by the corresponding publication), artifacts should include a version of that related system, and instructions for reproducing the numbers used for comparison as well. If the alternative tool crashes on a subset of the inputs, simply note this expected behavior.

Deviations from this ideal must be for good reason. A non-exclusive list of justifiable deviations includes:

• Some benchmark code is subject to licensing or intellectual property restrictions and cannot legally be shared with reviewers (e.g., licensed benchmark suites like SPEC, or when a tool is applied to private proprietary code). In such cases, all available benchmarks should be included. If all benchmark data from the paper falls into this case, alternative data should be supplied: providing a tool with no meaningful inputs to evaluate on is not sufficient to justify claims that the artifact works.
• Some of the results are performance data, and therefore exact numbers depend on the particular hardware. In this case, artifacts should explain how to recognize when experiments on other hardware reproduce the high-level results (e.g., that a certain optimization exhibits a particular trend, or that comparing two tools one outperforms the other in a certain class of cases).
• In some cases repeating the evaluation may take a long time. Reviewers may not reproduce full results in such cases.

In some cases, the artifact may require specialized hardware (e.g., a CPU with a particular new feature, or a specific class of GPU, or a cluster of GPUs). For such cases, authors should contact the Artifact Evaluation Co-Chairs (Qirun Zhang and Ningning Xie) as soon as possible to work out how to make these possible to evaluate. In past years one outcome was that an artifact requiring specialized hardware paid for a cloud instance with the hardware, which reviewers could access remotely.

Reusable: This badge may only be awarded to artifacts judged functional. A Reusable badge is given when reviewers feel the artifact is particularly well packaged, documented, designed, etc. to support future research that might build on the artifact. For example, if it seems relatively easy for others to reuse this directly as the basis of a follow-on project, the AEC may award a Reusable badge.

For binary-only artifacts to be considered Reusable, it must be possible for others to directly use the binary in their own research, such as a JAR file with very high quality client documentation for someone else to use it as a component of their own project.

Artifacts with source can be considered Reusable:

• if they can be reused as components,

• if others can learn from the source and apply the knowledge elsewhere (e.g., learning an implementation or proof/formalization technique for use in a separate codebase), or

• if others can directly modify and/or extend the system to handle new or expanded use cases.

Artifacts given one or both of the Functional and Reusable badges are generally referred to as accepted.

After decisions on the Functional and Reusable badges have been made, authors of any artifacts (including those not reviewed by the AEC, and those reviewed but not found Functional during reviewing) can earn an additional badge for their artifact durably available:

Available: This badge is automatically earned by artifacts that are made available publicly in an archival location. We require that artifacts that were evaluated as Functional archive the evaluated version. There are two routes for this:

• Authors upload a snapshot of the complete artifact to Zenodo, which provides a DOI specific to the artifact. Note that Github, etc. are not adequate for receiving this badge (see FAQ), and that Zenodo provides a way to make subsequent revisions of the artifact available and linked from the specific version.
• Authors can work with Conference Publishing to upload their artifacts directly to the ACM, where the artifact will be hosted alongside the paper.

Process

To maintain the separation of paper and artifact review, authors will only be asked to upload their artifacts after their papers have been accepted. Authors planning to submit to the artifact evaluation should prepare their artifacts well in advance of this date to ensure adequate time for packaging and documentation. This year, artifact evaluation will be single-anonymous, meaning that authors won’t know about reviewers’ identities (but artifacts can reveal the authors’ identities).

The process consists of the following deadlines and phases:

1. Artifact registration: All metadata except the artifact itself should be submitted. Artifact registration gives more time to authors, since bidding can start before the artifact has been submitted.
2. Artifact submission: Artifacts should be uploaded to Zenodo.
3. Response and communication period: Reviewers will be able to interact (anonymously) with authors for clarifications, system-specific patches, and other logistics help to make the artifact evaluable. The goal of continuous interaction is to prevent rejecting artifacts for minor issues, not research related at all, such as a “wrong library version”-type problem.
4. Author notification: Authors will learn about the badges that their artifacts obtained. No camera-ready deadline is given, because Zenodo allows uploading new versions at any time.

Types of Artifacts

The artifact evaluation will accept any artifact that authors wish to submit, broadly defined. A submitted artifact might be:

• software
• mechanized proofs
• test suites
• data sets
• hardware (if absolutely necessary)
• a video of a difficult- or impossible-to-share system in use
• any other artifact described in a paper

Artifact Evaluation Committee

Other than the chairs, the AEC members are senior graduate students, postdocs, or recent PhD graduates, identified with the help of the PLDI PC and recent artifact evaluation committees.

Among researchers, experienced graduate students are often in the best position to handle the diversity of systems expectations that the AEC will encounter. In addition, graduate students represent the future of the community, so involving them in the AEC process early will help push this process forward. The AEC chairs devote considerable attention to both mentoring and monitoring, helping to educate the students on their responsibilities and privileges.

Call for Reviewers

Nomination forms

If you want to be part of the Artifact Evaluation committee, you can fill out the self-nomination form: https://forms.gle/2TPmixasDmqMNz1GA

The first round of nomination ends on Dec 23rd, 2024. Depending on the number of responses received, we may or may not have a second round.

Important Dates

We expect the bulk of the review work to take place between March and April. During this time, reviewers will complete 2 to 3 reviews. Reviewers can expect each artifact to take 8h on average to review completely.

Phase 1 Deadline

In this phase, reviewers will go at least through the Getting Started Guide that accompanies each artifact and submit a short review based on the “basic functionality” described in it. If no issues are encountered, reviewers are expected to proceed to Phase 2. if reviewers run into issues, please post an author-visible comment, so that the authors can address the feedback as soon as possible.

Phase 2 Deadline

In this phase, reviewers will go through the Step-by-Step Instructions for each artifact and submit full, complete reviews, extending and expanding upon the Phase 1 reviews as appropriate. In addition, at the start of this phase, authors will obtain the initial reviews and communicate with the reviewers, to address any potential issues that the reviewers might have encountered. Reviewers are expected to be particularly responsive and, for example, validate potential bug fixes by the authors. Ideally, authors and reviewers can work together during this phase to identify and fix any issues that might prevent a full evaluation of the artifact. Communication will be closed one week before the review deadline, to allow reviewers to finalize their reviews.

Evaluation Guidelines

See SIGPLAN’s Empirical Evaluation Guidelines for some methodologies to consider during evaluation.