loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ciprian Paduraru 1 and Marius-Constantin Melemciuc 2

Affiliations: 1 The Research Institute of the University of Bucharest (ICUB), University of Bucharest, Bd. M. Kogalniceanu 36-46, 050107, Bucharest, Romania, Department of Computing Science, University of Bucharest, Romania, Electronic Arts and Romania ; 2 Department of Computing Science, University of Bucharest and Romania

Keyword(s): Fuzz Testing, Recurrent Neural Networks, LSTM, Tensorflow, Pipeline.

Abstract: This paper discusses an open source tool that is capable to assist users in generating automatic test data for multiple programs under test. The tool works by clustering inputs data from a corpus folder and producing generative models for each of the clusters. The models have a recurrent neural network structure and their training and sampling are parallelized with Tensorflow. As features, the tool supports online updating of the corpus folder and the already trained models, and supports any kind of program under test or input file example. There is no manual effort for users, other than customizing per cluster parameters for optimizations or using function hooks that they could use through a data structure, which acts as an expert system. The evaluation section shows the efficiency of both learning and code coverage using some concrete programs and new tests sampling methods.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.17.174.239

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Paduraru, C. and Melemciuc, M. (2018). An Automatic Test Data Generation Tool using Machine Learning. In Proceedings of the 13th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-320-9; ISSN 2184-2833, SciTePress, pages 472-481. DOI: 10.5220/0006836605060515

@conference{icsoft18,
author={Ciprian Paduraru. and Marius{-}Constantin Melemciuc.},
title={An Automatic Test Data Generation Tool using Machine Learning},
booktitle={Proceedings of the 13th International Conference on Software Technologies - ICSOFT},
year={2018},
pages={472-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006836605060515},
isbn={978-989-758-320-9},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Software Technologies - ICSOFT
TI - An Automatic Test Data Generation Tool using Machine Learning
SN - 978-989-758-320-9
IS - 2184-2833
AU - Paduraru, C.
AU - Melemciuc, M.
PY - 2018
SP - 472
EP - 481
DO - 10.5220/0006836605060515
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic