Establishing Qualitative Software Metrics in Department of the Navy Programs

Johnson, Chris; Patel, Ritesh; Radcliffe, Deyanira; Lee, Paul; Nguyen, John

doi:10.21236/ada622682

Cited by 2 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Portability of software can be measured by the following metrics: modularity (Mo), programming language (Pl), assessment of the system architecture ðOaÞ and the complexity of the system (Co) [35]. The system modularity metric is represented by the following formula:…”

Section: Calculating the Portability Attributementioning

confidence: 99%

“…where Mn is the number of modules in the system and Ms is the average module size (expressed in LOC) [25,35]. The assessment of the system architecture metric Oa is calculated as follows: if an independent platform programming language is used, then the resulting value is 1.…”

Section: Calculating the Portability Attributementioning

confidence: 99%

“…If not, the value is obtained from the following three parameters: how much the platform-dependent code is separated from the platform-independent code, usage of standardized and widely available application program interfaces (APIs), and standard models for displaying data and usage of platform-dependent libraries. Each parameter represents one-third of the¯nal assessment, and the architecture assessment is valued from 1 to 5 (1 means best) [25,35].…”

Section: Calculating the Portability Attributementioning

confidence: 99%

See 2 more Smart Citations

Quantitative Measurement of Scientific Software Quality: Definition of a Novel Quality Model

Koteska¹,

Mishev²,

Pejov

2018

Int. J. Soft. Eng. Knowl. Eng.

View full text Add to dashboard Cite

This paper presents a novel quality model, which provides a quantitative assessment of the attributes evaluated at each stage of development of scienti¯c applications. This model is de¯ned by selecting a set of attributes and metrics that a®ect the quality of applications. It is based on the established quality standards. The practical application and veri¯cation of the quality model is con¯rmed by two case studies. The¯rst is an application for solving onedimensional and two-dimensional Schr€ odinger equations, using the discrete variables representation method. The second is an application for calculating an ECG-derived heart rate and respiratory rate. The¯rst application follows a development model for scienti¯c applications, which includes some software engineering practices. The second application does not use a speci¯c development model, rather, it is developed ad hoc. The quality of the applications is evaluated through comparative analyses using the proposed model. Based on software quality metrics, the results of this study indicate that the application for solving one-dimensional and two-dimensional Schr€ odinger equations produces more desirable results.

show abstract

Section: Calculating the Portability Attributementioning

confidence: 99%

Section: Calculating the Portability Attributementioning

confidence: 99%

Section: Calculating the Portability Attributementioning

confidence: 99%

See 1 more Smart Citation