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This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a bibliometric domain analysis as a quantitative approach to uncover the structures within the privacy research field.

The bibliometric domain analysis consists of a combined directed network and topic model of published privacy research. The network contains 83,159 publications and 462,633 internal references. A Latent Dirichlet allocation (LDA) topic model from the same dataset offers an additional lens on structure by classifying each publication on 36 topics with the network data. The combined outcomes of these methods are used to investigate the structural position and topical make-up of the privacy research communities.

The authors identified the research communities as well as categorised their structural positioning. Four communities form the core of privacy research: individual privacy and law, cloud computing, location data and privacy-preserving data publishing. The latter is a macro-community of data mining, anonymity metrics and differential privacy. Surrounding the core are applied communities. Further removed are communities with little influence, most notably the medical communities that make up 14.4% of the network. The topic model shows system design as a potentially latent community. Noteworthy is the absence of a centralised body of knowledge on organisational privacy management.

This is the first in-depth, quantitative mapping study of all privacy research.

The main purpose of this paper is to improve a web content management system (WCMS) product line for future implementations by identifying software commonalities in WCMS‐based web applications. WCMS plays a central role in modern web application development: most large public and internal web sites are based on a WCMS foundation. If we can improve the implementation process, the effectiveness and efficiency of web application development will increase significantly.

This research identifies reusable solutions from existing WCMS implementations using problem diagrams and structured goal modeling. From configurations were matched with atomic e‐business models by linking them to the strategic competencies through bottom‐up goal modeling. A designed method was constructed on how requirements can be elicited for WCMS implementations using goal modeling and problem frames.

The resulting method provides insight in relevant e‐business models and their relation to software product lines. Moreover, the approach is applied in a WCMS study which demonstrates its applicability.

The practical implications of this research is twofold: WCMS developers now have a method to improve their product line based on e‐business models; and requirements engineers implementing WCMS can use this model to apply reusable software and prioritize requirements. Both will potentially have a large impact on the effectiveness of implementations since most web applications are developed with WCMS.

The paper presents a novel approach for efficient and effective identification of software commonalities. This research is part of the web engineering method that focuses on development of web applications based on WCMSs.