Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Does the Patent Office Respect the Software Community?
IEEE Software
An approach to improving existing measurement frameworks
IBM Systems Journal
IEEE Software
A Model for Technology Transfer in Practice
IEEE Software
Journal of Systems and Software
Software Measurement: Establish - Extract - Evaluate - Execute
Software Measurement: Establish - Extract - Evaluate - Execute
Basics of Software Engineering Experimentation
Basics of Software Engineering Experimentation
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In today's highly competitive business environments with shortened product and technology life cycle, it is critical for software industry to continuously innovate. This goal can be achieved by developing a better understanding and control of the activities and determinants of innovation. Innovation measurement initiatives assess innovation capability, output and performance to help develop such an understanding. This study explores various aspects relevant to innovation measurement ranging from definitions, measurement frameworks and metrics that have been proposed in literature and used in practice. A systematic literature review followed by an online questionnaire and interviews with practitioners and academics were employed to identify a comprehensive definition of innovation that can be used in software industry. The metrics for the evaluation of determinants, inputs, outputs and performance were also aggregated and categorised. Based on these findings, a conceptual model of the key measurable elements of innovation was constructed from the findings of the systematic review. The model was further refined after feedback from academia and industry through interviews.