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This paper focuses on identifying the reasons for change propagation during the production phase of the product life cycle. Unlike the traditional change propagation study where the focus is within the product, this study is focused to understand the propagation effects of change on other functional silos in the manufacturing firm. First, the reasons for the changes are identified using archival analysis through which it is found that 77.0% of changes are due to internal reasons while 23.0% are external. Second, these changes are distinguished into genesis and propagated changes using a matrix based modeling approach from which the reasons for propagation are identified. It is inferred that 32.4% of the total changes are due to propagated changes such as inventory issues, manufacturing issues, and design error rectification. The majority of reasons for these propagated changes include document error rectification such as BOM error, drawing error, incorrect introduction date in engineering change note (ECN) and design error rectification such as design limitations. The findings indicate nearly one-third of time spent by the engineers can be reduced by developing appropriate controls during the change release process.

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This paper presents findings from a study of the evolution of requirements in eight parallel student semester long design projects. Weekly requirements documents were collected and analyzed for the number of functional and non-functional requirements defined by each team. Trends were compared with end of project performance success. The findings provide suggestive, not definitive, evidence that (a) a higher number of defined requirements predicted higher project success, (b) early functional requirement definition relates to project success, and (c) it is important to continually evolve the requirements throughout the project. A set of guidelines and recommendations are developed.

Requirement change propagation, the process in which a change to one requirement results in additional requirement changes when otherwise this change would not have been needed, occurs frequently and must be managed. Multiple approaches exist, and have been readily published, for predicting requirement change propagation, analyzing change how a change to one requirement may propagate forward to other, related requirements (global level). However, the type of change encountered within a single requirement (localized level) has not been thoroughly studied and could be used to assist in the global analysis of requirement change propagation. This paper seeks to begin to fill this gap by identifying types of change requirements may encounter. By surveying research performed in the realm of requirement change, a taxonomy of change types is developed. To computationally analyze the changes, the localized requirement changes are represented through syntactical elements to identify which requirements’ parts of speech is affected. Using part of speech language rules, the identification of requirement change type is automatically identified. Further, the automatic identification of requirement change type is used to assist in predicting change propagation, a process currently automated. This bridges the gap between localized and global requirement change in an automated, systematic manner.