Software Metrics for Identifying Software Size in Software Development Projects
Keywords:
Engineering discipline, Software, Software Metrics, Software Size, Programming, Software Development ProjectsAbstract
Measurements are fundamental any engineering discipline. They indicate the amount, extent, dimension or capacity of an attribute or a product, in a quantitative manner. The analyzed results of the measured data can be given as the basic idea of metrics. It is a quantitative representation of the measurements of the degree to which a system, component, or process possesses a given attribute. When it comes to software, the metrics are a wide scope of measurements of computer programming. The size oriented metrics takes a main role in it since they can be used as the key for better estimations, to improve trust and confidence, and to have a better control over the software products. Software professionals traditionally have been measuring the size of software applications by using several methods. In this paper the researchers discuss about the software size metrics for identifying software size and it is mainly focused on the software development projects in today’s Information Technology (IT) industry.
References
R. Kumar and R. Verma, “Software Quality Metrics: Concept and Significance”, 2nd ed. Jhunjhunu, 2014.
V. Tiwari and R. Pandey, “Open Source Software and Reliability Metrics”, vol. 1, Dec. 2012.
T.Manoharan, “Metrics Tool for Software Development Life Cycle”, vol. 2, pp. 1-16, Jan. 2014.
D. Beyer, C. Lewerentz, and F. Simon, “Impact of Inheritance on Metrics for Size, Coupling, and Cohesion in Object-Oriented Systems”, vol. 2006, pp.1-17, Mar.2001.
A. Abran, S. Oligny, C. Symons, D. St-Pierre and J.M. Desharnais, “Functional Size Measurement Methods –COSMIC- FFP: Sesign and Field Trials”, 2000.
E. E. Mills, “Software Metrics, SEI Curriculum Module SEI-CM-12-1.1”, resources.sei.cmu.edu, 1988. [Online]. Available:
http://resources.sei.cmu.edu/asset_files/CurriculumModule/1988_007_001_15608.pdf.[Accessed: March 20, 2015].
N. E. Fenton and S. L. Pfleeger, “Software Metrics: A Rigorous & Practical Approach”, 2nd Edition, London: International Thomson Computer Press, 1997, pp. 638.
M. H. Sherif, "Handbook of Enterprise Integration",CRC Press, 2009. [Online]. Available: http://goo.gl/JUh9Gz. [Accessed: March 20, 2015].
S. H. Khan, "Metrics and Models in Software Quality Engineering", Addison-Wesley Professional, 2003. [Online]. Available: http://goo.gl/TxXUSx. [Accessed: March 20, 2015].
A. J. Albrecht,"Measuring Application Development Productivity",vol. SE-9 ,pp. 648-652, Nov. 1983.
M. N. M. García and F. J. G. Peñalvo, "Improving Estimations in Software Projects with Data Mining Techniques", vol. 18, pp. 265-278, April 1992.
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