Quality Attributes.

Barbacci, Mario R.; Klein, Mark; Longstaff, Thomas A.; Weinstock, Charles B.

doi:10.21236/ada307888

Cited by 144 publications

(113 citation statements)

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“…Using the results of static source code analyzers is one of the most widespread solutions to calculate an external quality attribute from internal quality attributes [5]. There are several case studies about that the metrics are appropriate indicators for external quality attributes such as code fault proneness [7] [9] [15], maintainability [1] and attractiveness [14].…”

Section: Related Workmentioning

confidence: 99%

Towards Building Method Level Maintainability Models Based on Expert Evaluations

Hegedűs

Ladányi

Siket

et al. 2012

Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity

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Abstract. The maintainability of software systems is getting more and more attention both from researchers and industrial experts. This is due to its direct impact on development costs and reliability of the software. Many models exist for estimating maintainability by aggregating low level source code metrics. However, very few of them are able to predict the maintainability on method level; even fewer take subjective human opinions into consideration. In this paper we present a new approach to create method level maintainability prediction models based on human surveys using regression techniques. We performed three di erent surveys and compared the derived prediction models. Our regression models were built based on approximately 150 000 answers of 268 persons. These models were able to estimate the maintainability of methods with a 0.72 correlation and a 0.83 mean absolute error on a continuous [0,10].

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Section: Related Workmentioning

confidence: 99%

Towards Building Method Level Maintainability Models Based on Expert Evaluations

Hegedűs

Ladányi

Siket

et al. 2012

Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity

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“…Initially, Scheithauer and Winkler [26] introduced these properties. They collected properties from different sources: (1) [20], (6) quality attributes [3]. The actual set presents some adapted properties as well as a different and a more coherent property grouping.…”

Section: Service Propertiesmentioning

confidence: 99%

“…Performance represents a service's responsiveness with respect to events and time [3]. Performance is expressed with latency and throughput.…”

Section: Quality Of Servicementioning

confidence: 99%

“…For this analysis, availability and reliability are regarded. A service's availability represents the systems readiness to be triggered [3]. Reliability, on the other hand, express the service's capability to keep performing over time [3].…”

Section: Quality Of Servicementioning

confidence: 99%

“…A service's availability represents the systems readiness to be triggered [3]. Reliability, on the other hand, express the service's capability to keep performing over time [3]. Both, availability and reliability are expressed with a percentage.…”

Section: Quality Of Servicementioning

confidence: 99%

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Describing Services for Service Ecosystems

Scheithauer

Augustin

Wirtz

2009

Service-Oriented Computing – ICSOC 2007

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Abstract. Service ecosystems are electronic market places and emerge as a result of the shift toward service economies. The aim of service ecosystems is to trade services over the internet. There are still obstacles that impede this new form of market places. Two of these challenges are addressed in this paper: (1) identification of appropriate service properties to specify service descriptions, and (2) a need of a clear classification for service description notations. Therefore, service properties and their relationship are introduced and an adaption for the Zachman Framework is presented to classify service description notations depending on the relative perspective.

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2014

Resource Optimization and Security for Cloud Services

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Quality Attributes.

Cited by 144 publications

References 0 publications

Towards Building Method Level Maintainability Models Based on Expert Evaluations

Towards Building Method Level Maintainability Models Based on Expert Evaluations

Describing Services for Service Ecosystems

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