Bøger af Abhinandan H. Patil

This book is totally informal and unconventional in its approach. Theory text is kept bare minimal. Targeted readers of this book are novice Python programmers. Author mentions about some Authoritative books by other competent Authors for beginners. The Author takes problem and solution approach . This book contains close to 20 practical problems and their solutions for beginners. The Author strongly asserts his copyright over content in this book that he prepared for teaching. This book is lab oriented and tests you on your learned concepts. After solving all the problems you should have gained some knowledge in Python. The intention of these book is to help novice learner. Good luck!.

Application of Cplusplus for solving practical problems

Most test coverage analyzers help in evaluating the effectiveness of testing by providing data on statement and branch coverage achieved during testing. If made available, the coverage information can be very useful for many other related activities, like, regression testing, test case prioritization, test-suite augmentation, test-suite minimization, etc. In this work, we present a Java-based tool Code Cover for test coverage reporting. It supports testing and related activities by recording the test coverage for various code-elements and updating the coverage information when the code being tested is modified. The tool maintains the test coverage information for a set of test cases on individual as well as test suite basis and provides effective visualization for the same. This work presents Tool called Code Cover. This work proposes the enhancements to the existing Tool Code Cover.

This book is for Software Engineering enthusiasts. Regression testers, IoT OS testers and Combinatorial testers can get hint on how to apply Machine learning and Data Science to software testing which are left as an exercise and future work.