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Background. Reproducibility is essential to the scientific method, but reproduction is often a laborious task. Recent works have attempted to automate this process and relieve researchers of this workload. However, due to varying…

Computers and Society · Computer Science 2026-01-09 Thijs Snelleman , Peter Lundestad Lawrence , Holger H. Hoos , Odd Erik Gundersen

Background: The development of scientific software applications is far from trivial, due to the constant increase in the necessary complexity of these applications, their increasing size, and their need for intensive maintenance and reuse.…

Software Engineering · Computer Science 2020-10-21 Elvira-Maria Arvanitou , Apostolos Ampatzoglou , Alexander Chatzigeorgiou , Jeffrey C. Carver

Increased availability of data and accessibility of computational tools in recent years have created unprecedented opportunities for scientific research driven by statistical analysis. Inherent limitations of statistics impose constrains on…

Genomics · Quantitative Biology 2016-09-13 Olga A. Vsevolozhskaya , Gabriel Ruiz , Dmitri V. Zaykin

Challenges to reproducibility and replicability have gained widespread attention, driven by large replication projects with lukewarm success rates. A nascent work has emerged developing algorithms to estimate the replicability of published…

Digital Libraries · Computer Science 2024-05-06 Chuhao Wu , Tatiana Chakravorti , John Carroll , Sarah Rajtmajer

Context: The Evidence-Based Software Engineering (EBSE) paradigm and the planning phase of a systematic literature review. Objective: A protocol to do a systematic literature review with detailed information about the processes suggested by…

Software Engineering · Computer Science 2017-04-05 José L. Barros-Justo , Samuel Sepúlveda , Nelson Martínez-Araujo , Alejandro González-García

The "reproducibility crisis" has been a highly visible source of scientific controversy and dispute. Here, I propose and review several avenues for identifying and prioritizing research studies for the purpose of targeted validation. Of the…

Computers and Society · Computer Science 2018-04-24 Gopal P. Sarma

Reproducibility has been increasingly encouraged by communities of science in order to validate experimental conclusions, and replication studies represent a significant opportunity to vision scientists wishing contribute new perceptual…

Human-Computer Interaction · Computer Science 2019-08-26 Ghulam Jilani Quadri , Paul Rosen

Despite the accelerating presence of exploratory causal analysis in modern science and medicine, the available non-experimental methods for validating causal models are not well characterized. One of the most popular methods is to evaluate…

Methodology · Statistics 2025-03-20 Ritwick Banerjee , Bryan Andrews , Erich Kummerfeld

Valid empirical studies build confidence in scientific findings. Fortunately, it is now common for software engineering researchers to consider threats to validity when designing their studies and to discuss them as part of their…

Software Engineering · Computer Science 2024-02-14 Marvin Wyrich , Sven Apel

Recent work has demonstrated that problems-- particularly imitation learning and structured prediction-- where a learner's predictions influence the input-distribution it is tested on can be naturally addressed by an interactive approach…

Machine Learning · Computer Science 2014-06-24 Stephane Ross , J. Andrew Bagnell

Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results. In this work, we argue that, by facilitating…

Information Retrieval · Computer Science 2021-02-02 Alejandro Bellogín , Alan Said

Several scientific fields including psychology are undergoing a replication crisis. There are many reasons for this problem, one of which is a misuse of p-values. There are several alternatives to p-values, and in this paper we describe a…

Methodology · Statistics 2020-10-05 Brian D. Segal

Empirical methods like experimentation have become a powerful means to drive the field of software engineering by creating scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in…

Software Engineering · Computer Science 2020-05-11 Michael Felderer , Guilherme Horta Travassos

The community of program optimisation and analysis, code performance evaluation, parallelisation and optimising compilation has published since many decades hundreds of research and engineering articles in major conferences and journals.…

Performance · Computer Science 2009-07-06 Sid Touati

Ensuring the reproducibility of scientific work is crucial as it allows the consistent verification of scientific claims and facilitates the advancement of knowledge by providing a reliable foundation for future research. However,…

Software Engineering · Computer Science 2025-04-14 Lázaro Costa , Susana Barbosa , Jácome Cunha

Research software refers to software development tools that accelerate discovery and simplifies access to digital infrastructures. However, although research software platforms can be built increasingly more innovative and powerful than…

Software Engineering · Computer Science 2018-12-27 Doug Mulholland , Paulo Alencar , Donald Cowan

Searching for clues, gathering evidence, and reviewing case files are all techniques used by criminal investigators to draw sound conclusions and avoid wrongful convictions. Similarly, in software engineering (SE) research, we can develop…

Software Engineering · Computer Science 2023-09-19 Marvin Muñoz Barón , Marvin Wyrich , Daniel Graziotin , Stefan Wagner

Like other engineering disciplines, software engineering should also have principles to guide the construction of sustainable computer applications. Tangible properties include a) unlimited scalability, b) maximal reproducibility, and c)…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-07-23 Justin Shi

As research increasingly relies on computational methods, the reliability of scientific results depends on the quality, reproducibility, and transparency of research software. Ensuring these qualities is critical for scientific integrity…

Software Engineering · Computer Science 2025-10-14 Evan Eisinger , Michael A. Heroux

Random effects meta-analysis is a widely applied methodology to synthetize research findings of studies in a specific scientific question. Besides estimating the mean effect, an important aim of the meta-analysis is to summarize the…

Applications · Statistics 2026-01-28 Peter Matrai , Tamas Koi , Zoltan Sipos , Nelli Farkas