There is a general acceptance that software engineering research should be
supported by empirical evaluation. To make real progress researchers must a
ddress the difficulties caused by the human-intensive nature of software de
velopment as well as experimental validity. This payer 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 empi
rical research methods. The intention is that the complementary nature of t
he research methods compensate for weaknesses inherent in individual method
s. It is argued that the multi-method approach potentially provides benefit
s in terms of more robust conclusions, development and investigation of res
earch hypotheses in an evolutionary manner, and increased understanding of
research results.
This paper demonstrates an application of the multi-method approach in an e
mpirical investigation of object-oriented technology. This research program
consists of a set of structured interviews with practitioners of object-or
iented technology, followed by a wide-scale questionnaire survey, and concl
udes with a set of three controlled laboratory experiments which investigat
ed one of the key findings from the exploratory interview and questionnaire
phases. This application finds evidence that unconstrained inheritance usa
ge in object-oriented software may inhibit software maintenance.
The paper concludes that the multi-method approach offers the possibility o
f more reliable and generalizable results from empirical software engineeri
ng research. (C) 1999 Elsevier Science Inc. All rights reserved.