Designing a software architecture that satisﬁes all quality requirements is a difﬁcult task. To determine whether the require- ments are achieved, it is necessary to quantitatively evaluate quality attributes on the architecture model. A good evaluation process should have proper answers for these questions: (1) how to feedback the evaluation results to the architecture model (i.e., improve the architecture based on the evaluation results), (2) how to analyze uncertainties in calculations, and (3) how to handle conﬂicts that may exist between the quality preferences of stakeholders. In this paper, we introduce SQME as a framework for automatic evaluation of software architecture models. The framework uses evolutionary algorithms for archi- tecture improvement, evidence theory for uncertainty handling, and EV/TOPSIS for making trade-off decisions. To validate the applicability of the framework, a case study is performed, and a software tool is developed to support the evaluation process. Keywords Software architecture · Software quality attributes · Evolutionary algorithms · Evidence theory · EV/TOPSIS 1 Introduction – Dependencies among quality attributes: software qual- ity attributes are not independent from each other, and Dealing with quality attributes such as performance, relia- there are complex relationships among them . In par- bility and security is
Software & Systems Modeling – Springer Journals
Published: May 31, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera