INES – National Institute of Science and Technology for Software Engineering

INES at Seventh International Conference on Software Engineering Advances (ICSEA 2012) – Part II

INES researchers had two papers accepted for publication in the 7th International Conference on Software Engineering Advances (ICSEA) 2012:

1) “Evaluating performance of distributed systems with MapReduce and application traffic analysis” authored by Thiago Vieira, Paulo Fernando Soares, Marco Machado, Rodrigo Assad and Vinicius Garcia; and,

2) “A Systematic Mapping Study on Domain-Specific Languages” authored by Leandro Nascimento, Daniel Viana, Paulo Silveira Neto, Dhiego Martins, Vinicius Garcia and Silvio Meira.

Both papers are part of the research activities being performed in the project “Social Machines and Research Team – SMaRT”. We are gathering other members in this research group and creating a new one with a more general proposal, called Advanced Software Systems Engineering and Research Technologies (ASSERT): www.assertlab.com

The conference will be held in November 18-23, 2012 – Lisbon, Portugal.

A brief overview of both papers is given next:

1) Abstract. Test, monitoring and evaluation of distributed systems at runtime is a difficult effort, due the dynamicity of the environment, the large amount of data exchanged between the nodes and the difficulty of reproduce an error for debugging. Application traffic analysis is a method to evaluate distributed systems, but the capacity of analyze large amount of data is a challenge. This paper proposes and evaluates the use of MapReduce programming model to deep packet inspection the application traffic of distributed systems, evaluating the effectiveness and the processing capacity of the MapReduce programming model for deep packet inspection of a JXTA distributed storage application, in order to measure performance indicators.

2) Abstract. Domain-Specific Languages (DSLs) offer substantial gains in expressiveness and ease of use compared with general purpose languages. This way, DSLs have gained significant attention in industry and academy, as can be seen by the increased number of related publications in key conferences and journals. This paper aims to provide a broad view of the DSL research field by performing a Systematic Mapping Study. Adopting a detailed search strategy, 4450 studies were initially identified, and, after filtering, 1440 primary studies were selected and categorized using a particular classification scheme. So, this work presents the most popular application domains where DSLs have been applied, identifies different tools for handling DSLs, including language workbenches, and enumerates several techniques, methods and/or processes for dealing with DSLs.