Abstract
With various challenging areas as the focus in software development, statistical modelling for software source code tries to derive the knowledge hidden in various software artifacts including code and text and help building robust systems which are intelligent. Integrated Development Environment (IDE) is one area of focus in the domain. Since this provides platform for entire software development processes, it plays key role. In this chapter, study of intelligent IDEs is extended to IoT environment context. To begin with, we focus our study on understanding the IDEs and their capability. Exploration will focus on open-source IDE for mobile, and we look for better understanding the landscape so that we can extend the learning to the IoT world. In this work, building low cost IDE for mobile is focused open. Also, interestingly, exploration focuses on open-source components and possibility of putting them together. Then, in next part, we explore the IDE for Internet of things (IoT), with focus on open source ecosystem. In this review, we extend the exploration of IoT in to device management, data management, communication, intelligent data processing, security and privacy, and application deployment areas. This gives a greater insight in to the IoT world to extend the need of intelligent IDEs to IoT world. Then, to get the context of IDE in the machine learning context, we explore the topic of building optimal IDE for feature engineering which is one of the key phases in machine learning life cycle. Since machine learning projects are highly data-oriented eco system, learning of IDE and its insights in this area will provide rich insights in to the main theme of discussion which is intelligent IDE for IoT eco system.
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Althar, R.R., Samanta, D. (2021). Building Intelligent Integrated Development Environment for IoT in the Context of Statistical Modeling for Software Source Code. In: Kumar, R., Sharma, R., Pattnaik, P.K. (eds) Multimedia Technologies in the Internet of Things Environment. Studies in Big Data, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-15-7965-3_7
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