Software engineering schema for data science and big dataSpeaker: Shan Suthaharan – Greensboro, NC, United States
Topic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
AbstractThis talk will present a newly created software development framework called SETh - it stands for software engineering theoretical framework. It comprises six visual models - TBoSE, TCoSE, TDoSE, TPoSE, TRoSE, and TMoSE - and they will be discussed in detail in this lecture. The SETh framework connects every step of the development of a software system tightly; hence, the learners and software engineers can study, understand, and build efficient software systems for regular and emerging data science applications. The principles of software engineering, and the recommendations of the ACM's Software Engineering Education Knowledge (SEEK) have been adopted in the framework; therefore, they will be discussed in detail. They provide solutions to minimize the discrepancies resulted from the complexity of the system, the vagueness of the user requirements, or the lack of knowledge and experience of the software engineer. In the talk, the backward tracking/tracing and forward tracking/tracing capabilities of the SETh frame work will also be discussed.
About this LectureNumber of Slides: 30
Duration: 60 minutes
Languages Available: English
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