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A Systematic Literature Review for Software Portability Measurement: Preliminary Results

Published: 17 April 2020 Publication History

Abstract

Software developers agree that software portability is a desirable attribute for their software quality. Software portability is mostly acquired by ad-hoc techniques when trying to port existing products. There is a lack of unified measuring approach of software portability in most computing platforms. This paper presents preliminary results of a systematic literature review, conducted to collect evidence on measuring software portability. The evidence was gathered from selected studies and based on a set of meaningful and focused questions. 49 studies of these were selected for data extraction performed against the research questions. We provide an overview of used\proposed measurement metrics of software portability. Our results suggested that there are scattered efforts to understand measurement of software portability, and no census has been achieved.

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  • (2022)Intelligent Automated Workload Analysis for Database ReplatformingProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526050(2273-2285)Online publication date: 10-Jun-2022
  • (2022)Flutter Framework Code Portability Measurement on Multiplatform Applications with ISO 91262022 1st International Conference on Software Engineering and Information Technology (ICoSEIT)10.1109/ICoSEIT55604.2022.10030045(36-40)Online publication date: 22-Nov-2022

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cover image ACM Other conferences
ICSCA '20: Proceedings of the 2020 9th International Conference on Software and Computer Applications
February 2020
382 pages
ISBN:9781450376655
DOI:10.1145/3384544
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 April 2020

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  1. Empirical study
  2. Software measurement
  3. Software portability
  4. Software quality

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  • Research
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Cited By

View all
  • (2022)Intelligent Automated Workload Analysis for Database ReplatformingProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526050(2273-2285)Online publication date: 10-Jun-2022
  • (2022)Flutter Framework Code Portability Measurement on Multiplatform Applications with ISO 91262022 1st International Conference on Software Engineering and Information Technology (ICoSEIT)10.1109/ICoSEIT55604.2022.10030045(36-40)Online publication date: 22-Nov-2022

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