Modern software engineering guidebook : practical solutions to efficient and economical software management

By:

Kundu, Shakti

Material type: Text

TextPublication details: New Delhi BPB Publications 2024Edition: 1stDescription: 338pISBN:

9789355519801

Subject(s):

Software Engineering

DDC classification:

005.1 KUN

Summary: The Modern Software Engineering Guidebook by Shakti Kundu offers practical solutions for efficient and economical software management. It covers key aspects of the software development lifecycle (SDLC), including methodologies like Agile and Waterfall, as well as best practices for design, coding, and testing. The book also addresses modern trends such as DevOps, cloud development, and the use of AI and machine learning in software engineering. It aims to enhance readers' career prospects by equipping them with relevant skills and knowledge for emerging technologies.

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Item type	Current library	Collection	Call number	Status	Notes	Barcode
Books	BMU Library	Reference	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15096
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15097
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15098
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15099
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15100
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15101
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15102
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15103
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15104
Books	BMU Library	Text Books	005.1 KUN (Browse shelf(Opens below))	Available	SOET	15105

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The Modern Software Engineering Guidebook by Shakti Kundu offers practical solutions for efficient and economical software management. It covers key aspects of the software development lifecycle (SDLC), including methodologies like Agile and Waterfall, as well as best practices for design, coding, and testing. The book also addresses modern trends such as DevOps, cloud development, and the use of AI and machine learning in software engineering. It aims to enhance readers' career prospects by equipping them with relevant skills and knowledge for emerging technologies.

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