Identifying Metrics' Biases When Measuring or Approximating Size in Heterogeneous Languages

Abstract

Context: To compare the effectiveness of development techniques, the size of compared software systems needs to be taken into account. However, in industry new development techniques often come with changes in the applied programming languages. Goal: Our goal is to investigate how different size metrics and approximations are biased towards the languages c and c++. Further, we investigate whether triangulation of metrics has the potential to compensate for biases. Method: We identify crucial preconditions for a triangulation and investigate on 34 open source projects, whether a set of 16 size metrics fulfills these preconditions for the languages c and c++. Results: We identify how metrics differ in their biases and find that the preconditions for triangulation are fulfilled. Conclusion: Triangulation has the potential to address language biases, but high variance among metrics and tools need to be taken into account, too.

Web-Based Parametric Effort Estimation for Mobile Application Development

“…complexity, support code reusability, booking and reservation, deadline date, file upload, comment feature, and multi-language support. Among these factors, booking and reservation, file upload, comment feature, and multi-language support are included in this study because these factors are considered necessary for mobile business modelling [16][17][18][19].…”