Software verification and validation within the (rational) unified process

Fuhrman, Christopher; Djlive, F.; Palza, Edgardo

doi:10.1109/sew.2003.1270746

Cited by 4 publications

(1 citation statement)

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“…† We have also realized that V & V activities in the methodology have to be improved. This fact confirms the result of [20] in which authors mention that V & V activities that are considered in the standard IEEE 1012 [23] are not completely supported by the UP. † We have realized that many security requirements are repeated.…”

Section: Lessons Learnedsupporting

confidence: 81%

Designing secure databases

Fernández‐Medina

Piattini

2005

Information and Software Technology

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Section: Lessons Learnedsupporting

confidence: 81%

Designing secure databases

Fernández‐Medina

Piattini

2005

Information and Software Technology

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Sound Software Development for Engineering Simulations

MacIsaac

Chan

2006

2006 Canadian Conference on Electrical and Computer Engineering

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Nine engineering research projects involving software development were investigated to demonstrate the need for imposing some sound and practical software engineering practices in undergraduate and graduate research environments where simulation is a common occurrence. All nine projects were monitored through a development phase, a code review and a usage phase. Errors were classified and recorded along with anecdotal observations and a usability rating. Of the nine projects investigated, all had serious errors during usage indicating that software development is problematic.Miscommunication, student inexperience, software platform quirks, and frequent reuse of insufficiently documented software and models were all factors that contributed to errors in the implemented software. Based on the observations made during this investigation, a more rigorous approach to software development is warranted.

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Quality, Improvement and Measurements in High Risk Software

Vargas

2014

Software Design and Development

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We aim to improve quality in software engineering projects by introducing Verification and Validation (V&V) best practices in terms of process, artifacts, and quality performance indicators. We present a Quality Measurement Management Tool (QMT) in order to support quality activities and process. This tool is based on a measurement meta-model repository for collecting, storing, analyzing and reporting measurement data. It is important to note that the proposed QMT supports the IEEE Standard 1012 for Software Verification and Validation (management, acquisition, supply, development, operation, and maintenance), as well as measurement information needs to Capability Maturity Model Integration (CMMI) processes and products requirements. Our repository is generic, flexible, and integrated, supporting a dynamic measurement system. It was originally designed to support Ericsson Research Canada's business information needs.

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Software verification and validation within the (rational) unified process

Cited by 4 publications

References 4 publications

Designing secure databases

Designing secure databases

Sound Software Development for Engineering Simulations

Quality, Improvement and Measurements in High Risk Software

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