02160naa a2200241 a 450000100080000000500110000800800410001902400530006010000200011324500750013326000090020830000150021752014670023265300300169965300240172965300140175365300290176770000140179670000200181070000150183070000170184577300560186219631452024-02-09       2013    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.procs.2013.05.2402DOI1 aCOSTA, G. C. B.  aPL-Scienceba scientific software product line.h[electronic resource]  c2013  ap. 759-768  aA way to improve reusability and maintainability of a family of software products is through the use of Software Product Line (SPL) approach. Software families, also named SPLs, are a set of software intensive systems sharing a common set of features which are managed to satisfy specific needs of a particular market segment or mission and that are developed from a common set of core assets in a prescribed way. This paper presents the PL-Science approach that considers the context of SPL and aims to assist scientists to define a scientific experiment, specifying a workflow that encompasses scientific applications of a given experiment. Using SPL concepts, scientists can reuse models that specify the scientific product line, and carefully can make decisions according to their needs. In the context of this paper, Scientific Software Product Lines (SSPL) differs from the Software Product Lines (SPL) due to the fact that SSPL uses an abstract scientific workflow model. This workflow is defined according to a scientific domain and, using this abstract workflow model, the products (scientific applications/algorithms) will be instantiated. This paper also focuses on the use of ontologies to facilitate the process of applying Software Product Line (SPL) to scientific domains. Through the use of ontology as a domain model, we can provide additional information as well as add more semantics in the context of Scientific Software Product Lines (SSPL).  aCaracterística de modelo  aLinha de produção  aOntologia  aSequencia de alinhamento1 aBRAGA, R.1 aDAVID, J. M. N.1 aCAMPOS, F.1 aARBEX, W. A.  tProcedia Computer Sciencegv. 18, p. 759-768, 2013.