Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Multi-Method Research: An Empirical Investigation of Object-Oriented Technology

Wood, Murray and Daly, John and Miller, James and Roper, Marc (1999) Multi-Method Research: An Empirical Investigation of Object-Oriented Technology. Journal of Systems and Software, 48 (1). pp. 13-26. ISSN 0164-1212

Full text not available in this repository. (Request a copy from the Strathclyde author)


There is a general acceptance that software engineering research should be supported by empirical evaluation. To make real progress researchers must address the difficulties caused by the human-intensive nature of software development as well as experimental validity. This paper proposes the use of multi-method empirical research programs, as an alternative to 'single-shot' empirical studies, to help address these problems. The multi-method approach is based on the combination of complementary empirical research methods. The intention is that the complementary nature of the research methods compensate for weaknesses inherent in individual methods. It is argued that the multi-method approach potentially provides benefits in terms of more robust conclusions, development and investigation of research hypotheses in an evolutionary manner, and increased understanding of research results. This paper demonstrates an application of the multi-method approach in an empirical investigation of object-oriented technology. This research program consists of a set of structured interviews with practitioners of object-oriented technology, followed by a wide-scale questionnaire survey, and concludes with a set of three controlled laboratory experiments which investigated one of the key findings from the exploratory interview and questionnaire phases. This application finds evidence that unconstrained inheritance usage in object-oriented software may inhibit software maintenance. The paper concludes that the multi-method approach offers the possibility of more reliable and generalizable results from empirical software engineering research.

Item type: Article
ID code: 1862
Keywords: Electronic computers. Computer science, Hardware and Architecture, Software, Information Systems
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Faculty of Science > Computer and Information Sciences > Computer Science
Depositing user: Strathprints Administrator
Date Deposited: 05 Oct 2006
Last modified: 10 Dec 2015 16:06

Actions (login required)

View Item View Item