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El autor Jose Antonio Parejo ha publicado 2 artículo(s):

1 - EXEMPLAR: An Experimental Information Repository for Software Engineering Research

The number and variety of experiments carried in software engineering research is growing, leading to a increasing need of replication and review. In order to support such needs the information about experiments should be provided as lab-packs comprising of: a description of the experiment, the materials used and data generated during the conduction, and the results of the analyzes performed on such data. However, this information is often scattered, poorly structured, and even unavailable, implying a tedious process of search and gathering. EXEMPLAR is an online platform for managing experimental information, that allows the uploading and publication of experimental lab packs, and an efficient search. The platform also supports the use of formal languages for providing experimental descriptions (e.g. SEDL). In so doing, EXEMPLAR enables the automated analysis of lab-packs, in order to detect common validity threats and missing information which could hinder replicability.

Autores: Jose Antonio Parejo / Sergio Segura / Pablo Fernandez / Antonio Ruiz Cortés / 
Palabras Clave: empirical research - experimental replicability - experimental repositories - experiments

2 - Evolutionary composition of QoS-aware web services: A many-objective perspective

Web service based applications often invoke services provided by third-parties in their workflow. The Quality of Service (QoS) provided by the invoked supplier can be expressed in terms of the Service Level Agreement specifying the values contracted for particular aspects like cost or throughput, among others. In this scenario, intelligent systems can support the engineer to scrutinise the service market in order to select those candidates that best fit with the expected composition focusing on different QoS aspects. This search problem, also known as QoS-aware web service composition, is characterised by the presence of many diverse QoS properties to be simultaneously optimised from a multi-objective perspective. Nevertheless, as the number of QoS properties considered during the design phase increases and a larger number of decision factors come into play, it becomes more difficult to find the most suitable candidate solutions, so more sophisticated techniques are required to explore and return diverse, competitive alternatives. With this aim, this paper explores the suitability of many objective evolutionary algorithms for addressing the binding problem of web services on the basis of a real-world benchmark with 9 QoS properties. A complete comparative study demonstrates that these techniques, never before applied to this problem, can achieve a better trade-off between all the QoS properties, or even promote specific QoS properties while keeping high values for the rest. In addition, this search process can be performed within a reasonable computational cost, enabling its adoption by intelligent and decision-support systems in the field of service oriented computation.Publicado en: Expert Systems with Applications, vol. 72, pp.357-370. 2017. DOI: 3,928 [18/133 Artificial Intelligence] (Q1).

Autores: Aurora Ramírez / José Antonio Parejo / José Raúl Romero / Sergio Segura / Antonio Ruiz-Cortés / 
Palabras Clave: many-objective evolutionary algorithms - multi-objective optimization - QoS-aware web service composition