Paper Info
Title
Automated Software Measurement Strategies Elaboration Using Unsupervised Learning Data Analysis.
Abstract
The software measurement becomes more complex as well as software systems. Indeed, the supervision of such systems needs to manage a lot of data. The measurement plans are heavy and time and resource consuming due to the amount of software properties to analyze. Moreover, the design of measurement processes depends on the software project, the used language, the used computer etc. Thereby, to evaluate a software, it is needed to know the context of the measured object, as well as, to analyze a software evaluation is needed to know the context. That is what makes difficult to automate a software measurement analysis. Formal models and standards have been standardized to facilitate some of these aspects. However, the maintainability of the measurements activities is still constituted of complex activities.
Year
DOI
Venue
2019
10.1007/978-3-030-40223-5_17
ENASE
Field
DocType
Citations 
Systems engineering,Computer science,Software system,Unsupervised learning,Software,Software Evaluation,Software metric,Elaboration,Maintainability,Software measurement
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Sarah A. Dahab100.34
Stephane Maag222927.21