Cantata supports code complexity metrics on procedural source code as a means of increasing the maintainability of software, through objective measurement using recognised ‘academic’ and common sense metrics: Halstead’s Software Science metrics. ... writing code for easy maintenance; Both lead to writing code as simple as possible. This section focuses on "Software Metrics" of Software Engineering. This means metrics must be extracted from a parse of the program text. Many significant cost and quality problems spawn and proliferate in common code maintenance development activities. The other three are tricky to quantify and while metrics exist, they do not show the complete picture. More does not always mean better. Organisations are increasingly adopting coding standards as a means of improving software quality and maintainability. IEEE Transactions on Software Engineering 22, 751–761 (1996), Chidamber, S.R., Kemerer, C.F. These include: All metrics are provided at the function, class, translation unit, or system level, as appropriate. Source code copying for reuse (code cloning) is often observed in software implementations. The two important software characteristics are: 1. Eng., 476–493 (June 1994), Chrissis, M.B., Konrad, M., Shrum, S.: CMMI Guidlines for Process Integration and Product Improvement. 60–69. The number of methods or functions defined in the class or called by methods of the class. Defect density. Within the software development process, there are many metrics that are all related to each other. 52.1.165.57. Quality metrics aim to keep the code base in tip-top condition by ensuring that quality is maintained throughout the entire development life cycle. The vast majority of existing quality models use source code metrics for measuring low level quality attributes. The goal is to reach 100%. The quality of a piece of software is to some degree based on the number of occurrences of dubious code contained within it. In his role as a software expert, Mr. Kukreja analyzes source code of large scale software applications to ascertain the overall maintainability of the application. Code complexity and structure. Common measures: Lines of source code written per programmer month. Total number of lines of source code (not including blank lines or comments). Having some heuristics and metrics that measure an application’s source code provides a useful starting point, and observing these metrics over time can identify important trends. Metrics for source code: These assess source code complexity, maintainability, and other characteristics. Common measures: Lines of source code written per programmer month. For the maintenance activities, metrics have been designed explicitly. Tech. Kazuki Nishizono, Shuji Morisaki, Rodrigo Vivanco, Ken-ichi Matsumoto Source code comprehension strategies and metrics to predict comprehension effort in software maintenance and evolution tasks — an empirical study with industry practitioners ICSME, 2011. Maximum length of inheritance path to ultimate base class. Grafana is an open source analytics and monitoring platform designed for every database. Many standard metrics are still applicable to OO systems. The 4 Hidden Costs of Code Maintenance Page 2 Summary Code maintenance has grown to become the largest budget item in most software development organizations [1][2]. McCabe’s, Myers’ and Hansen’s cyclomatic complexity metrics. We aim to estimate the maintenance cost caused by clones. Cantata source code metrics use industry standard complexity metrics to accurately estimate the testing effort for source items. This is the proportion of source code that automated tests cover. In Proceedings of the 9th India Software Engineering Conference (2016), ISEC '16, pp. Poor quality software … Some of the product based metrics that measure the source code related attributes of a software product are Object Oriented metrics (CK suite) , Halstead metrics , McCabe metrics , and line of code metrics. As Cantata can produce over 300 static metrics on source code, below are some examples of specific metrics and their most useful application. : The WEKA Data Mining Software: An Update. IEEE Transactions on Software Engineering 24, 491–496 (1998), Heitlager, I., Kuipers, T., Visser, J.: A Practical Model for Measuring Maintainability. The software metric enables testers to pinpoint what areas of the code they have yet to properly test. See which code complexity metrics supported in Polyspace ® are part of the Hersteller Initiative Software (HIS) standard. Program structure is the way the source code is designed and developed in the software system. Metrics computed at module level: Source Lines of Code (SLOC) Noncommented Source Lines of Code; Comment Lines; Number of Methods; Decision Density; Cyclomatic Complexity; Maximum loop nesting; Maximum conditional nesting; Halstead measures (volume, difficulty, effort, operators and operands) Software Engineering Institute (SEI) Maintainability Index [4] System structure and run-time execution traces are correlated to facilitate program comprehension through dynamic analysis in software maintenance tasks. Lal, S., and Sureka, A. Logopt: Static feature extraction from source code for automated catch block logging prediction. It’s beautifully crafted not just in design but in code too-- built with Bootstrap 3 it is responsive and works exceptionally on your desktop, tablet or phone. 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