ASSIST: An Integrated Measurement Tool

Keser, Burak; Iyidogan, Taylan; Özkan, Barış

doi:10.1109/iwsm-mensura.2013.41

Cited by 8 publications

(17 citation statements)

References 8 publications

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“…Measurement activities and Measures (RQ5, RQ6): only four proposals ( [10], [12], [13] and [20]) address Measurement Planning. Data Collection and Data Analysis, in turn, are addressed by all proposals.…”

Section: Resultsmentioning

confidence: 99%

“…Integration layers (RQ7): seven proposals ( [12], [13], [14], [15], [18], [20] and [21]) address integration only in data layer; four proposals ( [10], [16], [17], and [19]) address integration only in the message layer; and one proposal ( [11]) addresses integration in both data and message layers. None of the proposals address the process layer.…”

Section: Resultsmentioning

confidence: 99%

“…[15] uses CMMI measurement practices to define the measurement program supported by the proposed framework. [20] was conducted at a CMMI Level 3 organization. …”

Section: Resultsmentioning

confidence: 99%

“…Concerning the measurement activities, we noticed that all proposals that support Measurement Planning ( [10], [12], [13] and [20]) use GQM (Goal-Question-Metric) paradigm [23] or one of its variations. GQM is based on the idea that measurement should be goal-oriented, i.e., data must be collected based on an explicitly documented rationale [12].…”

Section: Discussionmentioning

confidence: 99%

“…ASSIST [20] 2013 Conference ASSIST is an integrated tool developed by a CMMI level 3 organization. It adopts GQ(I)M approach and is connected with commercial software suites for project management, issue tracking and enterprise resource planning.…”

Section: Proposalmentioning

confidence: 99%

See 4 more Smart Citations

Integration of Software Measurement Supporting Tools: A Mapping Study

Fonseca¹,

Barcellos²,

Falbo³

2015

International Conferences on Software Engineering and Knowledge Engineering

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-During software projects, it is necessary to collect, store and analyze data to support decision making at project and organizational levels. Software measurement is a key practice to process quality 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 the necessary information for decision making. However, usually these tools are 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. This paper presents a study investigating in the literature initiatives involving tools integration to support software measurement. As a result, twelve proposals were analyzed and their characteristics are presented.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…[15] uses CMMI measurement practices to define the measurement program supported by the proposed framework. [20] was conducted at a CMMI Level 3 organization. …”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Proposalmentioning

confidence: 99%

See 3 more Smart Citations

Integration of Software Measurement Supporting Tools: A Mapping Study

Fonseca¹,

Barcellos²,

Falbo³

2015

International Conferences on Software Engineering and Knowledge Engineering

View full text Add to dashboard Cite

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Software Product Quality Metrics: A Systematic Mapping Study

2021

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In the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics. INDEX TERMS software quality, software product quality, metrics, systematic mapping.

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