| Goldenson, D.; El Emam, K.; Herbsleb, J.; & Deephouse, C. "Empirical Studies of Software Process Assessment Methods." in K. El Emam and N. H. Madhavji (eds.): Elements of Software Process Assessment and Improvement. Los Alamitos, CA: IEEE Computer Society Press, 1999. |
....that ought to be demonstrated for a software process measure, but the most critical one is predictive validity. This is concerned with the relationship between the process measure and the process outcome. A discussion of both of these and different methods for achieving them can be found in [40][59]. An IEEE Standard describes a 5 And when evaluating the impact of a process change, for example, it is important to factor out these other influeneces. R02 05 02 01 12 methodology for validating metrics (IEEE Standard for a Software Quality Metrics Methodology. IEEE Std 1061 1998) 76] An ....
....influeneces. R02 05 02 01 12 methodology for validating metrics (IEEE Standard for a Software Quality Metrics Methodology. IEEE Std 1061 1998) 76] An overview of existing evidence on reliability of software process assessments can be found in [43] 49] and for predictive validity in [44] 49][59][88] 9.3.3.2 Process Measurement Paradigms Two general paradigms that are useful for characterizing the type of process measurement that can be performed have been described by Card [21] The distinction made by Card is a useful conceptual one. Although, there may be overlaps in practice. The ....
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D. Goldenson, K. El-Emam, J. Herbsleb, and C. Deephouse, "Empirical Studies of Software Process Assessment Methods," in Elements of Software Process Assessment and Improvement, K. El-Emam and N. H. Madhavji (eds.), IEEE CS Press, 1999.
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Goldenson, D.; El Emam, K.; Herbsleb, J.; & Deephouse, C. "Empirical Studies of Software Process Assessment Methods." in K. El Emam and N. H. Madhavji (eds.): Elements of Software Process Assessment and Improvement. Los Alamitos, CA: IEEE Computer Society Press, 1999.
.... capability and performance, and that this relationship is dependent upon some context factors (i.e. the relationship functional form or direction may be different for different contexts, or may exist only for some contexts) The hypothesised model can be tested for different units of analysis [35]. The three units of analysis are the life cycle process (e.g. the SRA process) 9 , the project (which could be a composite of the capability of multiple life cycle processes of a single project, such as SRA and design) or the organisation (which could be a composite of the capability of the ....
....or SRA practices within their scope they utilised composite measures, and the remaining studies that considered individual process did not include the SRA process within their scope. Two classes of empirical studies have been conducted and reported thus far: case studies and correlational studies [35]. Case studies describe the experiences of a single organisation (or a small number of selected organisations) and the benefits it gained from increasing its process capability. Case studies are most useful for showing that there are organisations that have benefited from increased process ....
D. Goldenson, K. El Emam, J. Herbsleb, and C. Deephouse: "Empirical Studies of Software Process Assessment Methods". In K. El Emam and N. H. Madhavji (eds.): Elements of Software Process Assessment and Improvement. IEEE CS Press, 1999.
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