Experimental Software Engineering Track (ESELAW)

This track is the evolution of the Workshop on Experimental Software Engineering. ESELAW provides a stimulating forum at which researchers and practitioners can present and discuss recent research results on a wide range of topics related to Experimental Software Engineering. Also, the track encourages the exchange of ideas to understand the strengths and weaknesses of software engineering technologies and methods from a robust empirical viewpoint, including different kinds of empirical studies. Research on empirical methods and the design and analysis of empirical studies are also welcome.

  • Continuous experimentation
  • Development of predictive models for software engineering based on empirical methods
  • Education and training in experimental software engineering
  • Empirical evaluation and comparison of software engineering techniques and models
  • Empirical studies concerned with software processes and products
  • Empirical studies about AI/ML-based systems
  • Industrial experience, case studies, action-research studies, ethnographic studies, grounded theory, among others
  • Infrastructures and new techniques to conduct empirical studies
  • Mining software repositories, data analytics, and data-driven development
  • New ideas regarding the measurement, evaluation, comparison, and development of empirical software engineering methods
  • Replication of empirical studies
  • Secondary studies (mapping studies, quasi/systematic literature reviews, and rapid reviews) and meta-analysis
  • Simulation-based studies in software engineering
Technical Papers (not exceeding 14 pages)

Technical papers should describe innovative research in the topics of the main tracks. Papers in this submission category should describe a novel contribution to the topics and should carefully support claims of novelty with citations to the relevant literature.

Evaluation criteria: Technical papers are evaluated by originality, soundness, relevance, importance of contribution, strength of validation, quality of presentation, and appropriate comparison to related work. In case a submission builds upon the previous work of the author(s), the novelty of the new contribution must be described clearly concerning the previous work. Technical papers need to discuss openly how the results were validated.

Emerging Ideas Papers (not exceeding 8 pages)

Emerging ideas papers describe new, non-conventional approaches that depart from standard practice, on the topics of the main tracks. They are intended to describe clear research ideas that are at an early stage of the investigation.

Evaluation criteria: Emerging ideas papers will be assessed primarily on their level of originality and potential for impact on the field regarding promoting innovative thinking. Hence, inadequacies in the state-of-the-art and the pertinence, correctness, and impact of the idea must be described precisely. While the idea that is described does not need to be fully validated, a presentation of preliminary results that provide initial insights into the feasibility and the impact of the idea is expected.


All papers must be submitted through EasyChair (https://easychair.org/conferences/?conf=cibse2021), using PDF format only. Submissions must be formatted according to the LNCS style (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

At least one author of each accepted paper must register by the camera-ready deadline. One registration corresponds to only one paper. Some author of each accepted paper must present it in person or the paper will be excluded from the proceedings made available online by Curran Associates (http://www.proceedings.com/), and later indexed by Scopus. If an author has more than one accepted paper, it is possible to pay the 50% of the registration in the second and following co-authored papers.

Evaluation process

Any paper which is not in the scope of the conference, does not follow the formatting guidelines, or was submitted or published in any other forum (conference or journal) will be desk-rejected without review. All other submissions will be peer-reviewed by at least three members of the Program Committee.

The organizers will publish all accepted papers in the conference proceedings, which will be indexed in Scopus and DBLP.

The best paper of each track will receive an award certificate. Moreover, the three best papers of each track (SET, RET, and ESELAW) will be invited to submit an extended version in English to a special issue of the Journal of Software Engineering Research and Development (JSERD).

Journal first

We are partnering with the Journal of Software Engineering Research and Development (JSERD) to incorporate Journal First papers into the CIbSE 2021 main track. Authors of journal-first papers accepted as Research Articles, Case Studies, or Review in JSERD are invited to present their research work at CIbSE. This offers an opportunity for authors to discuss their work with the community as well as enrich the technical program of CIbSE.

The following evaluation criteria will be used to select journal first papers to CIbSE 2021:

  • The paper describes original results that are not extensions of previous conference papers.
  • The paper was accepted for publication in the journal no earlier than January 1st, 2019.
  • The selected papers will be presented in the technical program of the CIbSE main tracks. At least one author per selected journal first paper will need to register and attend the conference to present it.

Authors interested in presenting journal first papers at CIbSE 2021 should send an email to martin.solari@ort.edu.uy with the subject “Journal First – CIbSE 2021” by June 1st, 2021. The following information must be provided: (i) paper title; (ii) list of authors; (iii) web link to the paper; and (iv) a short statement on how the work satisfies the criteria above.


  • Natasha Valentim (Universidade Federal do Paraná, Brazil)
  • Silverio Martínez-Fernández (Universitat Politècnica de Catalunya, Spain)

Program Committee

  • Raúl Antonio Aguilar Vera (Universidad Autónoma de Yucatán, Mexico)
  • Nauman Bin Ali Blekinge (Institute of Technology, Sweden)
  • Domenico Amalfitano (University of Naples Federico II, Italy)
  • Marco Araujo (IF Sudeste MG, Brazil)
  • Claudia P. Ayala (Universitat Politècnica de Catalunya, Spain)
  • Ellen Barbosa (ICMC/USP, Brazil)
  • Monalessa Barcellos (UFES, Brazil)
  • Oscar Cabrera (CoDeS, Mexico)
  • Bruno Cartaxo (IFPE, Brazil)
  • Jose Antonio Cruz-Lemus (University of Castilla-La Mancha, Spain)
  • Oscar Dieste (Universidad Politécnica de Madrid, Spain)
  • Rodrigo Falcão (Fraunhofer IESE, Germany)
  • Efraín R. Fonseca C. (Universidad de las Fuerzas Armadas ESPE, Ecuador)
  • Awdren Fontão (Federal University of Mato Grosso do Sul, Brazil)
  • Oscar Franco-Bedoya (Universidad de Caldas, Colombia)
  • Breno de França (UNICAMP, Brazil)
  • César França (Federal Rural University of Pernambuco – UFRPE, Brazil)
  • Miguel Goulão (Universidade Nova de Lisboa, Portugal)
  • Luis Iribarne (University of Almería, Spain)
  • Clemente Izurieta (Montana State University, USA)
  • Marcos Kalinowski (Pontifical Catholic University of Rio de Janeiro, Brazil)
  • Adriana Lopes (Universidade Federal do Amazonas, Brazil)
  • Marcelo Marinho (UFRPE, Brazil)
  • Anna Beatriz Marques (UFC, Brazil)
  • Santiago Matalonga (University of the West of Scotlannd, United Kingdom)
  • Rafael de Mello (CEFET-RJ, Brazil)
  • Elisa Yumi Nakagawa (University of São Paulo, Brazil)
  • Vânia Neves (UFF, Brazil)
  • Rafael Prikladnicki (PUCRS, Brazil)
  • Sheila Reinehr (PucPR, Brazil)
  • Luis Jorge Enrique Rivero Cabrejos (UFAM, Brazil)
  • Rodrigo Santos (UNIRIO, Brazil)
  • Gleison Santos (UNIRIO, Brazil)
  • Sergio Soares (Informatics Center – CIn/UFPE, Brazil)
  • Simone R. S. Souza (ICMC/USP, Brazil)
  • Guilherme Travassos (COPPE/UFRJ, Brazil)
  • Juan Pablo Ucán Pech (UADY, Mexico)
  • George Valença (Universidade Federal de Pernambuco, Brazil)
  • Diego Vallespir (Universidad de la República, Uruguay)
  • Jovan Varga (Cargill, Costa Rica)
  • Davi Viana (Federal University of Maranhão, Brazil)