Discovering software developer's coding expertise through deep learning

Javeed, Farooq; Siddique, Ansar; Akhtar, Muhammad; Shehzad, Basit; Lali, M. Ikram Ullah

doi:10.1049/iet-sen.2019.0290

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…Furthermore, aimed at allocating the suitable software developers for a particular project, Javeed et al [52] proposed a DL-based approach to determine the software developer's coding expertise by analyzing prior written source code. Three DL methods were developed, trained, and evaluated in the study: Long Short-Term Memory (LSTM), one-dimensional convolutional NN, and a hybrid model that combines LSTM and the previous NN.…”

Section: Planning Pdmentioning

confidence: 99%

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

et al. 2023

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In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.

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Section: Planning Pdmentioning

confidence: 99%

Artificial Intelligence Enabled Project Management: A Systematic Literature Review

et al. 2023

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“…Developers levels are different and hence the code may contain different types of vulnerabilities. The level of developer from given source code is detected by [12]. Moreover, new concepts of some different roles in software development are introduced by the industry i.e., users and developers.…”

Section: Related Workmentioning

confidence: 99%

Strengthening Software Make vs. Buy Decision: A Mixed-Method Approach

Javeed¹,

Shahzad²,

Shaikh³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Over the past few decades, multiple software development process models, tools, and techniques have been used by practitioners. Despite using these techniques, most software development organizations still fail to meet customer's needs within time and budget. Time overrun is one of the major reasons for project failure. There is a need to come up with a comprehensive solution that would increase the chances of project success. However, the "make vs. buy" decision can be helpful for "in time" software development. Social media have become a popular platform for discussion of all sorts of topics, so software development is no exception. Software developers discuss all the pros and cons of making vs. buy decisions on Twitter and other social media platforms. Twitter trending is a typical feature that evaluates the level of popularity of a specific event on online networking. A mixed-method approach comprising of interviews of software industry experts and Twitter data extraction is applied to scrutinize the effective decision of software build vs. buy decision. The findings of the analysis show that software makes vs. buy decisions depend on several factors including cost, development technology, software development team skills, and time. Based on the finding of the study a framework is proposed for the decision to build versus buy in Small and medium-sized enterprises (SMEs). Furthermore, the framework has been designed to statistically indicate make versus buy decisions of the organization and to suggest appropriate choices based on different parameters.

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