Skip to main content

Software Metrics: Measuring Haskell

Ryder, Chris and Thompson, Simon (2005) Software Metrics: Measuring Haskell. In: van Eekelen, Marko, ed. Trends in Functional Programming. Trends in Functional Programming . Intellect Books, Bristol, UK. ISBN 978-1-84150-176-5. (KAR id:14265)

PDF Publisher pdf
Language: English
Download (236kB) Preview
[thumbnail of tfp-2005-paperFinal.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format

Abstract

Software metrics have been used in software engineering as a mechanism for assessing code quality and for targeting software development activities, such as testing or refactoring, at areas of a program that will most benefit from them. Haskell has many tools for software engineering, such as testing, debugging and refactoring tools, but software metrics have mostly been neglected. The work presented in this paper identifies a collection of software metrics for use with Haskell programs. These metrics are subjected to statistical analysis to assess the correlation between their values and the number of bug fixing changes occurring during the development lifetime of two case study programs. In addition to this, the relationships between the metric values is also explored, showing how combinations of metrics can be used to improve the accuracy of the measurements.

Item Type: Book section
Uncontrolled keywords: measurment, metric, Haskell, validation, fault, Medina
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:02 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14265 (The current URI for this page, for reference purposes)
Thompson, Simon: https://orcid.org/0000-0002-2350-301X
  • Depositors only (login required):

Downloads

Downloads per month over past year