In this paper we examine how model transformation specifications can be derived from requirements and examples, using a combination of natural language processing (NLP), machine learning (ML) and inductive logic programming (ILP) techniques, together with search-based software engineering (SBSE) for metamodel matching. The AI techniques are employed in order to improve the performance and accuracy of the base SBSE approach, and enable this to be used for a wider range of transformation cases. We propose a specific approach for the co-use of the techniques, and evaluate this on a range of transformation examples from different sources. CCS CONCEPTS • Software and its engineering → Requirements analysis; Search-based software engineering.

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ISO 9126 software quality model of 2001 is the most comprehensive and widely accepted model. It is a generic quality model that is used in measuring quality of software across computing domains. This study seeks to access the level of application of ISO 9126 model in measuring software quality and its impact on different software domains. We employed a standard methodology for systematic literature review using automated search on four digital libraries for studies published between 2001 and 2016. The results of the systematic review reveal that the model as a whole has played a significant role in measuring software quality across different domains. Out of total 63 primary stud-ies, 30 applied the six characteristics, and 33 papers applied one or more characteristics for measuring software quality. Software component and database are the most evaluated domains, while usability characteristics are the most measured quality. This is the result of the fact that software vendors are moving towards quality user-centred design instead of technology driven designs. Ambiguity resulting from the lack of clear guideline and operational instrument for evaluation is the major shortcoming of this quality model, but were favored by many due to its flexibility to suit the growing software domains.

Aims:A cross-sectional research study on the seroprevalence of hepatitis B and listeriosis coinfection among patients attending Sickbay Hospital, Ahmadu Bello University, Zaria was carried out, with view to characterize, identify and to determine the antimicrobial sensitivity profile of Original Research ArticleListeria monocytogenes isolated from the HBV seropositive patients.