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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Research.fi
Dataset . 2024
License: CC BY
Data sources: Research.fi
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Choosing the Right Test Generation Tool: A Guide for Software Practitioners

Authors: Edna, Dias Canedo; Gabriel Matheus, da Rocha de Oliveira; Fabiana, Freitas Mendes; Heloise, Acco Tives;

Choosing the Right Test Generation Tool: A Guide for Software Practitioners

Abstract

 Context: As applications become more complex, the role of software testing tools is crucial for ensuring high-quality development and maintenance. Goal: This study aims to identify and evaluate key tools, shedding light on their advantages and disadvantages. The goal is to compile this information into a comprehensive reference guide, assisting developers in selecting the most suitable tool for specific testing scenarios, and enhancing efficiency. Method: We conducted a multivocal literature review and a survey involving professionals from various software development domains. The survey assessed participants' familiarity with identified tools and sought insights into the advantages and challenges influencing tool adoption decisions. Results: Findings revealed that many tools, some of the identified tools are well-known and others are not widely known or utilized. The study identified a set of most desired and most avoided characteristics in the selection of tools for projects. Conclusions: From an industry perspective, this research impacts the selection of the appropriate tool for specific contexts. It also impacts the ongoing investigation of software testing tools and decision-making processes in software development.

Country
Finland
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average