A simulation-based reliability prediction model for conceptual design

Ormon, S.W.; Cassady, C. Richard; Greenwood, Allen G.

doi:10.1109/rams.2001.902504

Cited by 9 publications

(2 citation statements)

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“…This issue happened for two reasons: either paper does not explicitly mention the underlying approach or the simulation model specification does not match any known approach. The model presented in [19] seems to be an analytical model, instead of a simulation one, but there are not enough details to confirm it and no simulation approach was mentioned. Another example of a not clearly identified simulation approach is [20], where we were unable to find details on their model and there is no sentence mentioning the simulation approach used to execute simulations.…”

Section: A Profile For Simulation Studies In Software Engineeringmentioning

confidence: 99%

Are We Prepared for Simulation Based Studies in Software Engineering Yet?

França¹,

Travassos²

2013

CLEIej

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CONTEXT: Simulation-based studies have been used in different research areas in order to conduct computerized experiments with distinct purposes. However, it seems that Software Engineering simulation studies have been performed in a non-systematic way, using ad-hoc experimental design and analysis procedures, i.e., without defining a research protocol and missing information when reporting results. OBJECTIVE: To characterize simulation-based studies and identify the common simulation strategies in Software Engineering. METHOD: To undertake a quasi-Systematic Review. Three online digital libraries (Scopus, Ei Compendex, and Web of Science) are used as sources of information. Information extraction from the primary studies should be captured using a predefined form. Plotted charts and tables should be used together with quantitative/qualitative approaches when possible to support data analysis. RESULTS: From 946 papers, 108 have been included, from which it is possible to identify 19 simulation approaches, 17 domains, 28 simulation models characteristics, 22 output analysis instruments, and 9 procedures for the verification and validation of simulation models in the Software Engineering context. Most dominant approach is System Dynamics in the Software Project Management domain. Replication is not a common behaviour. CONCLUSION: The lack of information regarding most of the simulation-based studies and their models restricts replication, making the results usually specifics and generalization hard. Apart from that, it compromises validity confidence. More research and discussions should be made by the community to increase the reliability and use of simulation-based studies in Software Engineering.

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Section: A Profile For Simulation Studies In Software Engineeringmentioning

confidence: 99%

Are We Prepared for Simulation Based Studies in Software Engineering Yet?

França¹,

Travassos²

2013

CLEIej

View full text Add to dashboard Cite

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“…Ormon and co-authors [9,10] have proposed a software simulator to address reliability prediction in the conceptual phase of design. The simulator involves working with the known and unknown failure rates.…”

Section: Reliability: Review and Related Researchmentioning

confidence: 99%

Relative Reliability Risk Assessment Applied to Original Designs During Conceptual Design Phase

Mamtani

Green

McDonald

2006

Proceedings of the Institution of Mechanical Engineers, Part B:

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Sys tem atic eval u a tions of con cept de signs in volve con sid er ing a range of cri te ria. In ter ac tion with in dus try sup ports the view that re li abil ity is a ma jor cri te rion among those con sid ered in prod uct de sign. Al though there are few meth ods to pre dict re li abil ity in the ini tial phases of de sign, most of them are only ap pli ca ble to adap tive de signs. In this pa per, we in tro duce the con cept of rel a tive re li abil ity risk as sess ment for orig i nal de signs, where in for ma tion avail abil ity is less, to cal cu late re li abil ity. We con sider the func tion struc tures of the prod uct un der con sid er ation and ap ply the an a lytic hi er ar chy pro cess us ing ver bal as sess ments for rel a tive mea sure ments. The weight as sign ing tech nique used is the en tropy method. a fi nal value of R 3 I (Rel a tive Re li abil ity Risk In dex) is cal cu lated and the idea of con cept func tion al ity graphs is pre sented. This method is ap plied on the ex am ple of seat sus pen sions for an off high way ve hi cle and the re sults are dis cussed. The find ings help to sort out the con cepts that are rel a tively strong in terms of re li abil ity.

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