Journal of Software Engineering & Software Testing (ISSN: 2457-0516)

Journal of Software Engineering & Software Testing

The Journal of Software engineering & Software Testing deals with the application of engineering to software that includes documenting the requirements of the software through application of basic design principles. The journal also emplasizes to analyze and design alternatives keeping in mind the utility of the finished product and whether the final product meets its requirements. At the same The journal also emphasizes on the safety, reliability, cost-affectivity and functional aspects of the software.

Some of the topics covered under this journal (but not limited to them) are:

    • Mathematics
    • Chemistry
    • Basic Engineering
    • Computer Literacy
    • Physics Laboratory
    • Engineering Graphics
    • Biology for Engineering
    • Principles of Environmental Science
    • Material Science
    • Digital Computer Fundamentals
    • Computer Organization and Architecture
    • Data Structures and Algorithms
    • Software Engineering Principles
    • Object Oriented Programming
    • Microprocessors
    • Software Design
    • Computer Skills
    • Discrete Mathematics
    • Computer Networks
    • Industrial management and economics
    • Software quality management
    • Web technology

Vol 4, No 1 (2019): Emotion Based Music Player

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Authors:-Vinayak Bali, Shubham Haval*, Snehal Patil, R. Priyambiga

Abstract:-Listening to music affects the human brain activities. Emotion based music player with automated playlist can help users to maintain a particular emotional state. This research proposes an emotion based music player that creates a playlists based on captured photos of the user. Manual sorting of a playlist and annotation of songs, in accordance with the current emotion, is more time consuming and quite tedious. Numerous algorithms have been implemented to automate this process. However, existing algorithms are slow, increase cost of the system by using additional hardware and have quite very less accuracy. This paper presents an algorithm that not only automates the process of generating an audio playlist, but also to classify those songs which are newly added and the main task is to capture current mood of person and to play song accordingly. This enhances the system’s efficiency, faster and automatic. The main goal is to reduce the overall computational time and the cost of the designed system. It also aims at increasing the accuracy of the system. The most important goal is to make change the mood of person if it is a negative one such as sad, depressed. This model is validated by testing the system against user dependent and user independent dataset.

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