Requirements engineering (RE) is a key discipline in software development and several methods are available to help assess and improve RE processes. However, these methods rely on prescriptive models of RE; they do not, like other disciplines within software engineering, draw directly on stakeholder perceptions and subjective judgments. Given this backdrop, we present an empirical study in RE process assessment. Our aim was to investigate how stakeholder perceptions and process prescriptions can be combined during assessments to effectively inform RE process improvement. We first describe existing methods for RE process assessment and the role played by stakeholder perceptions and subjective judgments in the software engineering and management literature. We then present a method that combines perceptions and prescriptions in RE assessments together with an industrial case study in which the method was applied and evaluated over a three-year period at TelSoft. The data suggest that the combined method
led to a comprehensive and rich assessment and it helped TelSoft consider RE as an important and integral part of the broader engineering context. This, in turn, led to improvements that combined plan-driven and adaptive principles for RE. Overall, the combined method helped TelSoft move from Level 1 to Level 2 in RE maturity, and the employees perceived the resulting engineering
practices to be improved. Based on these results, we suggest that software managers and researchers combine stakeholder perceptions and process prescriptions as one way to effectively balance the specificity, comparability, and accuracy of software process assessments.
Hamad, Mohammed J.A.; Chirwa, Evans M.N.(The Italian Association of Chemical Engineering, 2018)
Separation and concentration processes of fumaric acid from industrial products and down streams have been
a subject of wide range in research. With the emergence of Forward Osmosis (FO) technology attention has
Masoumi Karakani, Hossein; Human, Schalk William; Van Niekerk, Janet(Wiley, 2018-10)
Since the inception of control charts by W. A. Shewhart in the 1920s, they have been increasingly applied in various fields. The recent literature witnessed the development of a number of nonparametric (distribution‐free) ...