2011Unpublished venueRequires access

Replicate, Replicate, Replicate

Elaine J. Weyuker, Robert M. Bell, Thomas J. Ostrand

Open publisher page 7 citations

Abstract

Replication is a standard part of scientific experimentation. Unfortunately, in software engineering, replication of experiments is often considered an inferior type of research, or not even research at all. In this paper we describe four different types of replication that we have been performing as part of validating the effectiveness and applicability of our software fault prediction research. We discuss replication over time, replication by using different subject systems, replication by changing the variables in prediction models, and replication by varying the modeling algorithms.

About this research paper

What this paper is about

Replication is a standard part of scientific experimentation. Unfortunately, in software engineering, replication of experiments is often considered an inferior type of research, or not even research at all. In this paper we describe four different types of replication that we have been performing as part of validating the effectiveness and applicability of our software fault prediction research. We discuss replication over time, replication by using different subject systems, replication by changing the variables in prediction models, and replication by varying the modeling algorithms.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Replication is a standard part of scientific experimentation. Unfortunately, in software engineering, replication of experiments is often considered an inferior type of research, or not even research at all. In this paper we describe four different types of replication that we have been performing as part of validating the effectiveness and applicability of our software fault prediction research. We discuss replication over time, replication by using different subject systems, replication by changing the variables in prediction models, and replication by varying the modeling algorithms.

Key concepts: Replicate, Replication (statistics), Computer science, Software, Distributed computing, Biology, Programming language, Virology

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