Architecture Level Prediction of Software Quality Attributes

Imen Derbel, Lamia Labed Jilani, Ali Mili

2013

Abstract

The concept of software architecture emerged in the eighties as an abstraction of all the design decisions pertaining to broad system structure, component coordination, system deployment, and system operation. As such, software architecture deals less with functional attributes than with operational attributes of a software system. So much so that a sound discipline of software architecture consists in identifying and prioritizing important non functional attributes that we want to optimize in the software system, and using them as a guide in making architectural decisions. We know of no architectural description language that allows us to represent and reason about non functional quality attributes such as response time, throughput, failure probability, security, availability, etc. In this paper, we present a modified version of ACME, and present a compiler of this language that allows us to analyze and reason about non functional attributes of software systems.

Paper Citation

in Harvard Style

Derbel I., Labed Jilani L. and Mili A. (2013). Architecture Level Prediction of Software Quality Attributes . In Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-8565-62-4, pages 15-24. DOI: 10.5220/0004416800150024

in Bibtex Style

@conference{enase13,
author={Imen Derbel and Lamia Labed Jilani and Ali Mili},
title={Architecture Level Prediction of Software Quality Attributes},
booktitle={Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2013},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004416800150024},
isbn={978-989-8565-62-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Architecture Level Prediction of Software Quality Attributes
SN - 978-989-8565-62-4
AU - Derbel I.
AU - Labed Jilani L.
AU - Mili A.
PY - 2013
SP - 15
EP - 24
DO - 10.5220/0004416800150024