Title of article :
Quality evaluation for Model-Driven Web Engineering methodologies
Author/Authors :
Domيnguez-Mayo، نويسنده , , F.J. and Escalona، نويسنده , , M.J. and Mejيas، نويسنده , , M. and Ross، نويسنده , , M. and Staples، نويسنده , , G.، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2012
Pages :
18
From page :
1265
To page :
1282
Abstract :
Context are lots of approaches or methodologies in the Model-Driven Web Engineering (MDWE) context to develop Web Applications without reaching a consensus on the use of standards and scarcity of both, practical experience and tool support. ive Driven Web Engineering (MDWE) methodologies are constantly evolving. Moreover, Quality is a very important factor to identify within a methodology as it defines processes, techniques and artifacts to develop Web Applications. For this reason, when analyzing a methodology, it is not only necessary to evaluate quality, but also to find out how to improve it. The main goal of this paper is to develop a set of Quality Characteristics and Sub-Characteristics for MDWE approaches based on ISO/IEC standards. he software products context, some widely standards proposed, such as ISO/IEC 9126 or ISO/IEC 25000, suggest a Quality Model for software products, although up to now, there are no standard methods to assess quality on MDWE methodologies. Such methodologies can be organized into Properties, thus, a methodology has artifacts, processes and techniques. Then, each item is evaluated through a set of appropriate Quality Characteristics, depending on its nature. This paper proposes to evaluate a methodology as a product itself. s aper recommends a set of Quality Characteristics and Sub-Characteristics based on these standards in order to evaluate MDWE methodologies quality. Additionally, it defines an agile way to relate these Quality Sub-Characteristics to Properties with the sole purpose of not only analyzing, but also assessing and improving MDWE methodologies. sions plication of these Quality Characteristics and Sub-Characteristics could promote efficiency in methodologies since this kind of assessment enhances both the understanding of strengths and weaknesses of approaches.
Keywords :
Metrics/measurement , Quality analysis and evaluation , STANDARDS , Software quality/SQA , Software Engineering , Methodologies
Journal title :
Information and Software Technology
Serial Year :
2012
Journal title :
Information and Software Technology
Record number :
2374862
Link To Document :
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