Enterprise Architecture Measurement: An Extended Systematic Mapping Study

Abstract

A systematic mapping study (SMS) of proposed EA measurement solutions was undertaken to provide an in-depth understanding of the claimed achievements and limitations in evidence-based research of enterprise architecture (EA). This SMS reports on 22 primary studies on EA measurement solutions published up to the end of 2018. The primary studies were analyzed thematically and classified according to ten (10) mapping questions including, but not limited to, positioning of EA measurement solutions within EA schools of thought, analysis of consistency-inconsistency of the terms used by authors in EA measurement research, and an analysis of the references to the ISO 15939 measurement information model. Some key findings reveal that the current research on EA measurement solutions is focused on the-enterprise IT architecting‖ school of thought, does not use rigorous terminology as found in science and engineering, and shows limited adoption of knowledge from other disciplines. The paper concludes with new perspectives for future research avenues in EA measurement.

Systematic literature review on evaluation models and methods in enterprise architecture research

“…The multi-criteria method for metric-based evaluation of IT investments and the information economy method are effectiveness-based approaches. Metrology evaluation [43] Metrics Focuses on evaluating the metrology quality of the proposed EA measurement solutions. DeLone and McLean-SEM [44] IT management and effectiveness EA adoption model to explore the factors influencing the acceptance and usefulness of EA for digitizing cities and using statistical analysis in the data analysis.…”

“…The evaluation process is a basis for confirming the achievement of the expected benefits [50]. As a research recommendation related to further evaluation of EA, several studies such as the study by [51] stated the need to consider various stakeholder perceptions of project performance, as well as studies by [44], [52] also suggest involving qualitative feedback from stakeholders involved in EA implementation as a suggestion for future EA evaluation processes, as well as an effort to overcome expectations to increase the likelihood of success of the evaluation process [53], [54]. EA evaluation models and methods help measure the success of EA implementation to meet organizational/company strategic goals.…”

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study

“…The data extraction presents an important step when adopting the systematic mapping method [57]. Hence, to answer the mapping questions listed in Table 1, the data extraction was designed to collect all pertinent data from each selected primary study to be used then for answering our research questions.…”

“…The authors [70] assume that the size features are strictly associated with the needed effort. As sensitivity to changes in functional size, functional sizing can be considered as the most accepted method, that has a greater impact on predicting software project effort [57]. Indeed, the Size measure and effort estimations are the most interesting metrics that, if accurate, have a positive impact on software project planning and management [3].…”

Latent Dirichlet Allocation and t-Distributed Stochastic Neighbor Embedding Enhance Scientific Reading Comprehension of Articles Related to Enterprise Architecture

“…The number of publications in the enterprise architecture (EA) research area is continuously growing [2]. In his much-quoted article, Zachman, who is regarded as one of the most significant researchers in modern EA, describes the need for a logical architecture to structure companies' systems as early as 1987 [3].…”