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Related papers: On (Mis)perceptions of testing effectiveness: an e…

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Just-in-time defect prediction assigns a defect risk to each new change to a software repository in order to prioritize review and testing efforts. Over the last decades different approaches were proposed in literature to craft more…

Software Engineering · Computer Science 2022-09-29 Peter Bludau , Alexander Pretschner

Unit testing is an essential component of the software development life-cycle. A developer could easily and quickly catch and fix software faults introduced in the source code by creating and running unit tests. Despite their importance,…

Software Engineering · Computer Science 2021-08-02 Denivan Campos , Larissa Rocha , Ivan Machado

The label quality of defect data sets has a direct influence on the reliability of defect prediction models. In this study, for multi-version-project defect data sets, we propose an approach to automatically detecting instances with…

Software Engineering · Computer Science 2021-01-29 Shiran Liu , Zhaoqiang Guo , Yanhui Li , Chuanqi Wang , Lin Chen , Zhongbin Sun , Yuming Zhou

Code completion is a popular software development tool integrated into all major IDEs. Many neural language models have achieved promising results in completion suggestion prediction on synthetic benchmarks. However, a recent study When…

Software Engineering · Computer Science 2020-11-10 Gareth Ari Aye , Seohyun Kim , Hongyu Li

Test effectiveness refers to the capability of a test suite in exposing faults in software. It is crucial to be aware of factors that influence this capability. We aim at inferring the causal relationship between the two factors (i.e.,…

Software Engineering · Computer Science 2023-03-20 Alireza Aghamohammadi , Seyed-Hassan Mirian-Hosseinabadi

Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that…

Applications · Statistics 2026-04-30 Berna Devezer , Erkan O. Buzbas

Developers spend a large portion of their time and effort on comprehending source code. While many studies have investigated how developers approach these comprehension tasks and what factors influence their success, less is known about how…

Software Engineering · Computer Science 2019-08-01 Chak Shun Yu , Christoph Treude , Maurício Aniche

For more than 30 years, it has been claimed that a way to improve software developers' productivity and software quality is to focus on people and to provide incentives to make developers satisfied and happy. This claim has rarely been…

Software Engineering · Computer Science 2015-05-06 Daniel Graziotin , Xiaofeng Wang , Pekka Abrahamsson

Background. Effort-aware metrics (EAMs) are widely used to evaluate the effectiveness of software defect prediction models, while accounting for the effort needed to analyze the software modules that are estimated defective. The usual…

Software Engineering · Computer Science 2025-04-29 Luigi Lavazza , Gabriele Rotoloni , Sandro Morasca

Model-based testing (MBT) provides an automated approach for finding discrepancies between software models and their implementation. If we want to incorporate MBT into the fast and iterative software development process that is Continuous…

Software Engineering · Computer Science 2023-05-02 P. H. M. van Spaendonck

Traditional defect prediction approaches often use metrics that measure the complexity of the design or implementing code of a software system, such as the number of lines of code in a source file. In this paper, we explore a different…

Software Engineering · Computer Science 2024-09-30 Hung Viet Pham , Tung Thanh Nguyen

An application's performance regressions can be detected by both application or microbenchmarks. While application benchmarks stress the system under test by sending synthetic but realistic requests which, e.g., simulate real user traffic,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-08 Nils Japke , Christoph Witzko , Martin Grambow , David Bermbach

Objective: To present an overview on the current state of the art concerning metrics-based quality evaluation of software components and component assemblies. Method: Comparison of several approaches available in the literature, using a…

Software Engineering · Computer Science 2011-10-03 Miguel Goulão , Fernando Brito e Abreu

Many real-world classification problems are significantly class-imbalanced to detriment of the class of interest. The standard set of proper evaluation metrics is well-known but the usual assumption is that the test dataset imbalance equals…

Machine Learning · Computer Science 2020-04-16 Jan Brabec , Tomáš Komárek , Vojtěch Franc , Lukáš Machlica

Context: Empirical Software Engineering (ESE) drives innovation in SE through qualitative and quantitative studies. However, concerns about the correct application of empirical methodologies have existed since the 2006 Dagstuhl seminar on…

Affects---emotions and moods---have an impact on cognitive activities and the working performance of individuals. Development tasks are undertaken through cognitive processes, yet software engineering research lacks theory on affects and…

Software Engineering · Computer Science 2015-09-18 Daniel Graziotin , Xiaofeng Wang , Pekka Abrahamsson

Background. Refactoring is a critical task in software maintenance and is generally performed to enforce the best design and implementation practices or to cope with design defects. Several studies attempted to detect refactoring activities…

Software Engineering · Computer Science 2020-09-15 Eman Abdullah AlOmar , Mohamed Wiem Mkaouer , Ali Ouni , Marouane Kessentini

Contribution: This study examined student effort and performance in an introductory programming course with respect to student-held implicit theories and self-efficacy. Background: Implicit theories and self-efficacy shed a light into…

Computers and Society · Computer Science 2018-09-03 F. Boray Tek , Kristin S. Benli , Ezgi Deveci

Design-based simulations - procedures that hold realized outcomes fixed and generate variation by resampling treatment assignment or shocks - are widely used in both methodological and applied work to assess inference procedures. This paper…

Econometrics · Economics 2026-03-13 Bruno Ferman

What factors impact the comprehensibility of code? Previous research suggests that expectation-congruent programs should take less time to understand and be less prone to errors. We present an experiment in which participants with…

Software Engineering · Computer Science 2013-04-29 Michael Hansen , Robert L. Goldstone , Andrew Lumsdaine
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