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Author: Andrei Panu

Affiliation: Alexandru Ioan Cuza University of Iasi, Romania

Keyword(s): Information Extraction, Named Entity Recognition, Knowledge Engineering, Machine Learning, Web Mining.

Related Ontology Subjects/Areas/Topics: Software Engineering ; Software Engineering Methods and Techniques ; Software Testing and Maintenance

Abstract: After the initial development and deployment, keeping software applications and their execution environments up to date comes with some challenges. System administrators have no insight into the internals of the applications running on their infrastructure, thus if an update is available for the interpreter or for a library packaged separately on which an application depends, they do not know if the new release will bring some changes that will break parts of the application. It is up to the development team to assess the changes and to support the new version. Such tasks take time to accomplish. In this paper we propose an approach consisting of automatic analysis of the applications and automatic verification if the changes in a new version of a software dependency affect them. With this solution, system administrators will have an insight and will not depend on the developers of the applications in such situations, and the latter will be able to find out faster which is the impact of the new release on their applications. (More)

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Paper citation in several formats:
Panu, A. (2017). A Novel Method for Improving Productivity in Software Administration and Maintenance. In Proceedings of the 12th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-262-2; ISSN 2184-2833, SciTePress, pages 220-229. DOI: 10.5220/0006407002200229

@conference{icsoft17,
author={Andrei Panu.},
title={A Novel Method for Improving Productivity in Software Administration and Maintenance},
booktitle={Proceedings of the 12th International Conference on Software Technologies - ICSOFT},
year={2017},
pages={220-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006407002200229},
isbn={978-989-758-262-2},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Software Technologies - ICSOFT
TI - A Novel Method for Improving Productivity in Software Administration and Maintenance
SN - 978-989-758-262-2
IS - 2184-2833
AU - Panu, A.
PY - 2017
SP - 220
EP - 229
DO - 10.5220/0006407002200229
PB - SciTePress

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