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Software system deployment describes the activities associated with ensuring that a software system is available for its end users. Every company, regardless of its size, requires an efficient and effective software system deployment process to ensure the customer will accept the system software successfully. Small and Medium Enterprises (SMEs) often operate on limited resources and with strict time constraints and need to improve their processes. For this reason, the existing proposals for deployment processes are not usually useful for SMEs. This fact led us to propose DepProMod (Deployment Process Model) to help SMEs to execute the deployment process of software systems in a systematized and controlled manner. The initial version of DepProMod has subprocesses, activities and tasks defined in addition to a capability-level architecture which allow its implementation in a step-by-step manner, thus adapting to SMEs with different needs and resources. This paper presents the results of two empirical studies carried out to obtain feedback on the model so as to refine it and complete it. Specifically, a case study from an Argentine level 1 Medium-size software development SME (approximately 55 employees) and the interviews held with two professionals from the software industry are presented. In summary, both empirical studies allowed us to modify, unify and eliminate elements in the model.

This issue of the CLEIej consists of three main parts: i) a review paper on the state of the art of how contextual information extracted from a user task can help to improve searches for contents relevant to this task; ii) extended and revised versions of Selected Papers (which correspond to the second and third best paper from each track) presented at the XX Ibero-American Conference on Software Engineering (CIbSE 2017), which took place in Buenos Aires, Argentina, in May 2017; and, iii) extended and revised versions of selected papers from LACLO 2016, the XI Latin American Conference on Learning Objects and Technology, which took place in San José, Costa Rica, in October 2016.

UML models quality is clearly a crucial issue that must be evaluated at the initial stages of object-oriented software development, in order to get software products with better quality. This fact is corroborated by the huge amount of metrics that have appeared in the literature related to the measurement of UML diagrams at a high level design stage. Most of these metrics are focused on the measurement of internal quality attributes such as structural complexity, coupling, size, etc. However, none of the proposed metrics take into account the added complexity involved when a UML model are complemented by expressions written in Object Constraint Language (OCL), that is a UML/OCL model. Due OCL is essential in building consistent and coherent platform-independent models we propose a metric suite for structural properties of OCL expressions. These metrics were proposed considering OCL concepts related to the "chunking" and "tracing" cognitive techniques. We believe that cognitive techniques affect the cognitive complexity, and by consequence the understandability and maintainability of expression of UML/OCL models. Therefore, the goal of this paper is to show how we defined these metrics in a methodological way, assuring thus their validity.