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Empirical software product line engineering: A systematic literature review. An IST journal publication

The adoption of Software Product Line Engineering (SPLE) is usually only based on its theoretical benefits instead of empirical evidences. In fact, there is no work that synthesizes the empirical studies on SPLE. This makes it difficult for researchers to base their contributions on previous works validated with an empirical strategy. The objective of this work is to discover and summarize the studies that have used empirical evidences in SPLE limited to those ones with the intervention of humans. This will allow evaluating the quality and to know the scope of these studies over time. Doing so, research opportunities can arise. A systematic literature review was conducted. The scope of the work focuses on those studies in which there is human intervention and were published between 2000 and 2018. We considered peer-reviewed papers from journals and top software engineering conferences. Out of a total of 1880 studies in the initial set, a total of 62 primary studies were selected after applying a series of inclusion and exclusion criteria. We found that, approximately 56+AFwAJQ of the studies used the empirical case study strategy while the rest used experimental strategies. Around 86+AFwAJQ of the case studies were performed in an industrial environment showing the penetration of SPLE in industry. The interest of empirical studies has been growing since 2008. Around 95.16+AFwAJQ of the studies address aspects related to domain engineering while application engineering received less attention. Most of the experiments and case study evaluated showed an acceptable level of quality. The first study found dates from 2005 and since then, the interest in the empirical SPLE has increased.

Autores: Ana E. Chacón-Luna / Antonio Manuel Gutiérrez / José A. Galindo / David Benavides / 
Palabras Clave: Case Study - Empirical strategies - experiment - software product lines - Systematic literature review

A Family of Case Studies on Business Process Mining

Business processes, most of which are automated by information systems, have become a key asset in organizations. Unfortunately, uncontrolled maintenance implies that information systems age over time until they need to be modernized. During software modernization, ageing systems cannot be entirely discarded because they gradually embed meaningful business knowledge, which is not present in any other artifact. This paper presents a technique for recovering business processes from legacy systems in order to preserve that knowledge. The technique statically analyzes source code and generates a code model, which is later transformed by pattern matching into a business process model. This technique has been validated over a two year period in several industrial modernization projects. This paper reports the results of a family of case studies that were performed to empirically validate the technique using analysis and meta-analysis techniques. The study demonstrates the effectiveness and efficiency of the technique.

Autores: Ricardo Pérez-Castillo / José A. Cruz-Lemus / Ignacio García-Rodríguez de Guzmán / Mario Piattini / 
Palabras Clave: Business process - Case Study - Meta-analysis - Static Analysis

Event Correlation in Non-Process-Aware Systems

Since business processes supported by traditional systems are implicitly defined, correlating events into the appropriate process instance is not trivial. This challenge is known as the event correlation problem. This paper presents an adaptation of an existing event correlation algorithm and incorporates it into a technique to collect event logs from the execution of traditional information systems. The technique first instruments the source code to collect events together with some candidate correlation attributes. Secondly, the algorithm is applied to the dataset of events to discover the best correlation conditions. Event logs are then built using such conditions. The technique has been semi-automated to facilitate its validation through an industrial case study involving a writer management system and a healthcare evaluation system. The study demonstrates that the technique is able to discover the correlation set and obtain well-formed event logs enabling business process mining techniques to be applied to traditional information systems.

Autores: Ricardo Pérez-Castillo / Barbara Weber / Ignacio García-Rodríguez de Guzmán / Mario Piattini / Jakob Pinggera / 
Palabras Clave: Case Study - Event Correlation - Event Model - Process Mining

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