GSMP: Green Software Measurement Process

2021 ◽  
pp. 43-67
Author(s):  
Javier Mancebo ◽  
Coral Calero ◽  
Félix García
2008 ◽  
Vol 28 (1) ◽  
pp. 229-231 ◽  
Author(s):  
Xu ZHANG ◽  
Shu-hang GUO ◽  
Yu-qing LAN

2017 ◽  
Vol 135 ◽  
pp. 20-44 ◽  
Author(s):  
Vinícius Soares Fonseca ◽  
Monalessa Perini Barcellos ◽  
Ricardo de Almeida Falbo

2012 ◽  
Vol 605-607 ◽  
pp. 2479-2482
Author(s):  
Jin Zhu Wang ◽  
Jian Jie Ding

Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.


2021 ◽  
Author(s):  
Komeil Raisian ◽  
Jamaiah Yahaya ◽  
Siti Rohana Ahmad Ibrahim ◽  
Aziz Deraman ◽  
Tumen Yunos

2014 ◽  
Vol 556-562 ◽  
pp. 3317-3320
Author(s):  
Yan Hong Zhang ◽  
Hong Chun Zhang

Software metrics include project metrics, product metrics and process metrics. Software measurement process model embodies the relations among the three aspects of collection mechanism, analysis evaluation and project control of the metrics data. The three measurement activities and measurement information can be respectively applied to effective data acquisition, measurement process improvement and software process management. Data collection and analysis are the key to the software measurement process, the continued advancement of their technologies and methods has important significance on the improvement of software measurement process.


2016 ◽  
Author(s):  
Vinícius Soares Fonseca ◽  
Monalessa Perini Barcellos ◽  
Ricardo De Almeida Falbo

Software measurement is a key practice to process improvement and project management. Given the nature of measurement activities, supporting tools are essential. Different tools can be combined to support the measurement process and provide necessary information for decision making. However, these tools are usually developed by different developers, at different points in time and without concern for integration. As a result, organizations have to deal with integration issues to allow tools communication and properly support the measurement process. In this paper we present a tool integration initiative performed following the Ontology-Based Approach for Measurement Systems Integration (OBA-MSI) aiming to support the measurement process in a software development organization. The integration involved three tools: Taiga, SonarQube and SoMeSPC.


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