System dynamics modelling of the impact of agile practice on the quality of continuous delivery projects

Akerele, Olumide

doi:10.1007/s11334-017-0296-z

Cited by 4 publications

(13 citation statements)

References 22 publications

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“…2 It is observed in 31 (14.5%) cases that measure the models' parameters with real-world attributes to ensure their correctness of them. 30,50 After reviewing the relevant literature and the data collected from open source projects, Zhang et al 42 assessed that each parameter in their model is reasonable and has real-life meaning.…”

Section: Rq2: What Methods Are Used In Vandv Of Spsms?mentioning

confidence: 99%

“…In addition to ensuring that the boundary value of the model can simulate reasonable results, the modelers should ensure that the input value beyond the boundary can also produce reasonable results. 30…”

Section: Extreme Conditions Testmentioning

confidence: 99%

“…It may also contain the definition and detailed information of the conceptual model. 30 It is critically important to utilize qualitative analysis to verify a conceptual model because of the lack of quantitative data when building a model. 64 Parameter confirmation test is an effective method for checking the feasible validity of the conceptual model.…”

Section: A Semantic Qualitymentioning

confidence: 99%

“…Feasible validity is the primary goal of the simulation model, which contains multiple aspects, such as input parameters, model variables, simulation results, model behavior, and dimensions. 30,33,75 At this step, the verification of feasible validity is usually to check simulation results and model parameters. Comparison with actual data is the most used V&V method in this step.…”

Section: A Syntactic Qualitymentioning

confidence: 99%

“…While the former verifies that the behavior governing equations of the model are free of semantic errors, 76 the latter verifies that the dimensions of the model variables are consistent with the real process and the units are correct. 30 To ensure the validity of the model parameters, modelers can use sensitivity analysis to detect the sensitivity parameters that might cause uncertainty of model outputs. 65 To ensure the feasible validity of a model under extreme conditions, Cangussu performed extreme conditions test to validate that the output of the model is reasonable.…”

Section: A Syntactic Qualitymentioning

confidence: 99%

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Verification and validation of software process simulation models: A systematic mapping study

Li,

Zhang,

Liu

et al. 2023

J Software Evolu Process

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Software process simulation models (SPSMs) that are based on descriptive process models offer the executability that can demonstrate dynamic changes of software processes over time. Verification and validation (V&V) is critical in SPSMs for guaranteeing the quality and reliability of models. V&V of dynamic software process models is more complex and challenging than for static software process models. This work systematically summarizes and maps V&V studies in SPSM to provide guidelines for future research and practice. Specifically, this study aims at identifying the focus of research on V&V, the methods used for V&V, and how to implement V&V of SPSMs in software engineering research. We conducted a systematic mapping study on studies of SPSMs that report on their V&V activities. Under the guidance of a V&V meta‐model for SPSMs, we study four research questions about V&V process. We identified 107 primary studies from a pool of 313 papers on SPSMs until 2021. There are two main results of our study. The first one presents the relationship between quality aspects of SPSMs and the V&V methods to assure them. The second result reveals the relationships among the modeling process, three modeling steps, five quality aspects, and 10 V&V methods. Generally, researchers do not pay sufficient attention to V&V, as 65.8% ( ) failed to mention or elaborate on their V&V process. We systematically summarize and map the state‐of‐the‐art V&V research in software process modeling field to support modelers' practice and improve their V&V process.

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