Object-Oriented Software Engineering: Measuring and Controlling the Development Process

Although the benefits of Object-Orientation are manifold and it is, for certain, one of the mainstays for software production in the future, it will only achieve widespread practical acceptance when the management aspects of the software development process using this technology are carefully addressed. Here, software metrics play an important role allowing, among other things, better planning, the assessment of improvements, the reduction of unpredictability, early identification of potential problems and productivity evaluation. This paper proposes a set of metrics suitable for evaluating the use of the main abstractions of the Object-Oriented paradigm such as inheritance, encapsulation, information hiding or polymorphism and the consequent emphasis on reuse that, together, are believed to be responsible for the increase in software quality and development productivity. Those metrics are aimed at helping to establish comparisons throughout the practitioners’ community and setting design recommendations that may eventually become organization standards. Some desirable properties for such a metrics set are also presented. Future lines of research are envisaged.This is the seminal paper for the MOOD metrics set, originally included in the proceedings of the 4ICSQ, published by the American Society for Quality