The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Research artifacts for human-oriented experiments in software engineering: An ACM badges-driven structure proposal
Abstract
Context: The Open Science (OS) movement promotes the value of making public the research artifacts (datasets, analysis scripts, guidelines, etc.) used during empirical studies. OS is widely known in areas such as Medicine or Biology, where the process of sharing research artifacts is subject to strict protocols. Unfortunately, in Software Engineering (SE), this process is carried out in a non-systematic way, resulting in incomplete or inaccurate material shared by researchers, which hinders the reproducibility and replicability of empirical studies. Nevertheless, in recent years, it seems that the Empirical Software Engineering (ESE) community is embracing some of the proposed OS initiatives, such as the one proposed by the Association for Computing Machinery (ACM), which provides a badge system to evaluate the quality of a research artifact. This badge system has been adopted by several SE conferences as a method of assessing research artifacts. Aims: Focusing on human-oriented experiments (HOEs) in SE, whose research artifacts are more complex than those for computational experiments, this work applies Design Science Research (DSR) with a twofold purpose: (i) review the current status of HOEs research artifacts publication through evaluation of this practice in the most relevant ESE journals , and (ii) propose a structured outline for HOEs research artifacts driven by the aforementioned ACM badging policy. Method: Regarding the first purpose, we carried out a survey to analyze the current status of the publication of research artifacts considering relevant peer review journals and the quality of 106 research artifacts published in these journals with respect to the ACM badging policy. For the second purpose, an iterative process was carried out to review the content of 106 research artifacts research and their concordance with ACM badges, obtaining a structured scheme for HOEs research artifacts that has been validated through a detailed review of 12 research artifacts obtained from some of those of ACM badges in relevant SE conferences. In addition, we validated the proposal in the research artifacts of 2 of our own experiments. Results: Our survey reveals issues such as the 39,70% of journal studies making completely accessible their research artifacts; most of the analyzed research artifacts are incomplete; the most common repositories used in the ESE community to share the research artifacts are GitHub, institutional repositories , and Zenodo. On the other hand, the validated and structured research artifact outline consists of a list of ordered sections containing a set of artifacts, which can be mandatory or not to achieve a particular ACM badge. For its internal validation, several improvement iterations on the first release of the outline have been carried out based on the conference guidelines, the ACM badging policy, and other relevant proposals. Conclusions: Although the ESE community is making great efforts in standardization, review, and digital publishing related to OS, the availability and completeness of research artifacts can be improved. Our proposal for the elaboration of structured research artifact outline meets the requirements of HOEs in SE. Nevertheless, further research is needed not only to improve and externally validate it but also to disseminate its use among the research community.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Design Science Research Methodology for Information Systems Research
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240302 · Cited by 7,832
A manifesto for reproducible science
Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017) · Nature Human Behaviour · doi:10.1038/s41562-016-0021 · Cited by 3,397
Systematic Mapping Studies in Software Engineering
Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008) · Electronic Workshops in Computing · doi:10.14236/ewic/ease2008.8 · Cited by 3,239
The Logic of Scientific Discovery.
Rescher, N., Popper, K. R., & Hanson, N. R. (1960) · Philosophy and Phenomenological Research · doi:10.2307/2104331 · Cited by 2,475
Toward a new economics of science
Partha, D., & David, P. A. (1994) · Research Policy · doi:10.1016/0048-7333(94)01002-1 · Cited by 2,448
Experimentation in Software Engineering: An Introduction
Wohlin, C., Runeson, P., Höst, M., Ohlsson, M. C., Regnell, B., & Wesslén, A. (2011) · Lund University Publications (Lund University) · Cited by 2,214
Building knowledge through families of experiments
Basili, V. R., Shull, F., & Lanubile, F. (1999) · IEEE Transactions on Software Engineering · doi:10.1109/32.799939 · Cited by 852
The role of replications in Empirical Software Engineering
Shull, F. J., Carver, J. C., Vegas, S., & Juristo, N. (2008) · Empirical Software Engineering · doi:10.1007/s10664-008-9060-1 · Cited by 315
Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.10.006 · Cited by 305
Chenail, R. J. (2014) · The Qualitative Report · doi:10.46743/2160-3715/2011.1051 · Cited by 304
Research works printed but not linked: 21
- ACM, 2020
- Elsevier, 2023
- EMSE, ., Empirical software engineering journal. https://bit.ly/3QeQLwx.
- EMSE journal, 2023
- Ferro, 2018, SIGIR initiative to implement ACM artifact review and badging, Vol. 52, 4
- ICSE, 2021
- IEEE, 2023
- IST, ., Information and software technology journal. https://bit.ly/3H0Zhss.
- IST Journal, 2023
- JSS, ., Journal of systems and software journal. https://bit.ly/3tlGGSy.
- JSS Journal, 2023
- Open Science IEEE Computer Society, 2020
- Pucci, J., Passos, L., García, R., Messias, R., Olivete, C., 2014. ExpTool : a Tool to Conduct , Package and Replicate Controlled Experiments in Software Engineering. In: Proceedings of the International Conference on Software Engineering Research and Practice. SERP.
- Santos, 2018, Analyzing families of experiments in SE: A systematic mapping study, IEEE Trans. Softw. Eng., 46, 566, 10.1109/TSE.2018.2864633 · DOI
- Santos, 2021, A procedure and guidelines for analyzing groups of software engineering replications, IEEE Trans. Softw. Eng., 47, 1742
- Siegmund, 2015, Views on internal and external validity in empirical software engineering, Vol. 1, 9
- Solari, M., Vegas, S., 2006. Classifying and analysing replication packages for software engineering experimentation. In: 7th International Conference on Product Focused Software Process Improvement (PROFES 2006)-Workshop Series in Empirical Software Engineering (WSESE). Amsterdam, Paises Bajos.
- Springer, 2023
- SSRN Elsevier, 2022
- TSE, ., IEEE transactions on software engineering journal. https://bit.ly/3Q84cff.
- Vegas, 2006, Analysis of the influence of communication between researchers on experiment replication, Vol. 2006, 28
Metadata
- Authors
- Guevara-Vega, C., Bernárdez, B., Cruz, M., Durán, A., Ruiz-Cortés, A., & Solari, M.
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 218
- Pages
- 112187
- ISSN
- 0164-1212
- Cited by
- 8
- References
- 60
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Research artifacts for human-oriented experiments in software engineering: An ACM badges-driven structure proposal. https://app.cochat.ai/papers/10.1016/j.jss.2024.112187
- The paper
- Guevara-Vega, C., Bernárdez, B., Cruz, M., Durán, A., Ruiz-Cortés, A., & Solari, M. (2024). Research artifacts for human-oriented experiments in software engineering: An ACM badges-driven structure proposal. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2024.112187
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.