Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Role of Software Metric in Software Development

Author : K Suresh 1

Date of Publication :12th April 2018

Abstract: The Software system keeps growing in magnitude, making it increasingly difficult to comprehend and handle. Software metrics are evaluation units of the software. Software metrics provide a quantitative framework for forecasting and preparing the software's entire process.Thus qualifying software is enhanced and can be regulated beyond challenge.Software metrics have been described as a technique of quantification of characteristics in software procedures, product lines and initiatives.Software metrics has a direct link in software development to measurement.Proper calculation is the typical situation in any engineering area and software development is no exemption, as device volume and complexity grows, software technical analysis becomes a more challenging task.Many software developers are concerned about the reliability of the software, how its performance can be evaluated and improved.The paper presents a summary of the different software quality metrics used in the software development and the paper also emphasizes on the need for software metrics and its relation to software quality

Reference :

    1. A. Meneely, B. Smith, and L. Williams, “Validating software metrics,” ACM Trans. Softw. Eng. Methodol., 2012.
    2. G. O’Regan, “Software Metrics Software Metrics,” 2014, pp. 151–183.
    3. K. P. Srinivasan and T. Devi, “Software Metrics Validation Methodologies in Software Engineering,” Int. J. Softw. Eng. Appl., vol. 5, no. 6, pp. 87–102, 2014.
    4. W. Itzfeldt, “Quality metrics for software management and engineering,” in Managing Complexity in Software Engineering, 2011, pp. 127–152.
    5. K. Mordal, N. Anquetil, J. Laval, A. Serebrenik, B. Vasilescu, and S. Ducasse, “Software quality metrics aggregation in industry,” in Journal of software: Evolution and Process, 2013, vol. 25, no. 10, pp. 1117– 1135. 
    6. C. Symons, “metrics Software Industry Performance,” IEEE Softw., vol. 27, no. 6, pp. 66–72, 2010.

Recent Article