Skip to main navigation Skip to search Skip to main content

New metrics for automated programming assessment

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

    Abstract

    This paper describes a new automated programming assessment metrics which improves the assessment scheme proposed by Michael Rees. The metrics enhance the efficiency of program assessment and also reduce the assessment's subjective aspect to a minimum. An empirical study was held to study the performance of the assessment method based on six major software metrics. The software metrics include those which measure development effort, program reliability, size, data structure, logic structure, programming style and the execution efficiency of programs. An automated assessment tool called ASSESS was developed to capture data from students' submitted program assignments into a measurement database and perform the required analysis to produce graphical outputs. To increase the descriptive power of some of the metrics, several extensions were introduced to the definitions of some of the metrics. The assessment results show that students' programming skills can be differentiated using the new metrics. Using ASSESS assessment of computer programs can be facilitated.
    Original languageEnglish
    Title of host publicationSOFTWARE ENGINEERING EDUCATION
    Subtitle of host publicationProceedings of the IFIP WG3.4/SEARCC (SRIG on Education and Training) Working Conference
    EditorsB.Z. BARTA, S.L. HUNG, K.R. COX
    Place of PublicationAmsterdam
    PublisherElsevier
    Pages233-243
    ISBN (Print)044481597X, 9780444815972
    DOIs
    Publication statusPublished - 1993
    EventIFIP WG3.4/SEARCC SRIG on Education and Training Working Conference - , Hong Kong, China
    Duration: 28 Sept 19932 Oct 1993

    Publication series

    NameIFIP Transactions A: Computer Science and Technology
    ISSN (Electronic)0926-5473

    Conference

    ConferenceIFIP WG3.4/SEARCC SRIG on Education and Training Working Conference
    PlaceHong Kong, China
    Period28/09/932/10/93

    Fingerprint

    Dive into the research topics of 'New metrics for automated programming assessment'. Together they form a unique fingerprint.

    Cite this