2009
DOI: 10.1016/j.jss.2009.06.032
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Methodology evaluation framework for dynamic evolution in composition-based distributed applications

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Cited by 11 publications
(5 citation statements)
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“…A number of approaches (e.g. [7,13,26]) have been proposed for evaluating and comparing software development methodologies with the aim of:…”
Section: Existing Methodology Evaluation Approachesmentioning
confidence: 99%
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“…A number of approaches (e.g. [7,13,26]) have been proposed for evaluating and comparing software development methodologies with the aim of:…”
Section: Existing Methodology Evaluation Approachesmentioning
confidence: 99%
“…Specifically, the presently available evaluation methodology approaches, e.g. [7,13,26], are not sufficient to capture the unique requirements and constraints of SOC [46]. Also, such approaches suffer from a number of limitations (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Generality, preciseness, comprehensiveness, and balance are the main validation meta-criteria used in the refinement process [51]; however, to present a comprehensive and balanced collection of criteria, a number of complementary meta-criteria have also been defined. The final set of meta-criteria, as listed below, ensures that evaluation criteria possess the traits essential for evaluating processes effectively: To define a range of values for each criterion, a method similar to the Feature Analysis technique has been used [52]; in this method, criteria are divided into four distinct types according to their evaluation values: † Scaled: Discrete levels of satisfaction are defined for these criteria, each with its own specification. † Enumerated: A list of possible values is defined for these criteria.…”
Section: Criteria-based Analysis Of the Bprp Frameworkmentioning
confidence: 99%
“…Generality, preciseness, comprehensiveness, and balance are the main validation meta‐criteria used in the refinement process [51]; however, to present a comprehensive and balanced collection of criteria, a number of complementary meta‐criteria have also been defined. The final set of meta‐criteria, as listed below, ensures that evaluation criteria possess the traits essential for evaluating processes effectively: Preciseness: To effectively differentiate the similarities and differences of processes. Clarity (simplicity): To enhance understandability and applicability of the criteria. Minimum overlap: To minimise interdependencies among the criteria. Generality: So that the criteria are applicable regardless of the type of the process being evaluated. Balance: To cover all of the three dimensions of processes (technical, managerial, and usage). Comprehensiveness: So that the criteria address all of the important aspects of processes. Inclusion of pattern‐specific criteria: To evaluate ‘pattern’ characteristics of the processes being evaluated. Inclusion of general process evaluation criteria: To evaluate general traits of processes. Inclusion of BPR‐specific criteria: To evaluate BPR‐specific characteristics of processes. Inclusion of method engineering criteria: To evaluate method‐engineering‐related characteristics of processes. To define a range of values for each criterion, a method similar to the Feature Analysis technique has been used [52]; in this method, criteria are divided into four distinct types according to their evaluation values: Scaled: Discrete levels of satisfaction are defined for these criteria, each with its own specification. Enumerated: A list of possible values is defined for these criteria. Simple: Two values are defined for these criteria, denoting satisfaction or non‐satisfaction. Descriptive: Evaluation results are in narrative form, describing the level of satisfaction in a non‐formal manner. The compiled set of criteria has been divided into four groups: Pattern‐specific, General, BPR‐specific, and SME‐related. These groups will be explained in the following sub‐sections.…”
Section: Validation Of Proposed Bprp Frameworkmentioning
confidence: 99%
“…Morrison et al (2007) evaluated when it was safe to perform evolution, what evolutionary steps were required and how to execute the evolution operations to ensure the suitability of a dynamic reconfiguration approach used. Fung & Low (2009) conducted a survey and concluded that multiple factors such as coexistence, performance characteristic prediction, dynamic state transfer, dynamic change impact analysis and servicing continuity should be the principal criteria. Specifically, the expected impacts of dynamic changes were suggested to be an important feature.…”
Section: Related Workmentioning
confidence: 99%