Zhalil #9
Zhalil #9
Conversation
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| ## Section Conclusion |
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Very weak conclusion, The conclusion must: Summarizes the key findings, their significance, and potential implications. It wraps up the discussion and may suggest future research directions.
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| Using Artificial Intelligence to predict delays and budget overruns in Software Development projects |
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Missing an abstract!
A brief summary of the entire paper, including the research question, methods, results, and conclusions. It helps readers quickly understand the paper's purpose and key findings
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| ## Relevance of the study | ||
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| Classic project management techniques like Gantt charts and critical path analysis were useful in the earlier context, but do not make the cut in terms of flexibility and adaptability in today's context. Such rapidly transforming requirements, soaring uncertainty and pressing decision making calls for disruptive tools and approaches. The application of artificial intelligence (AI) and machine learning has the potential to provide significant advances in prediction and risk management for software development initiatives [2]. |
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| ## Aim and Objectives of the Study |
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since this is a research paper, better to formulate it to research questions rather than goals.
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| # 1. Introduction |
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Weak Introduction
Provides background information, states the research problem, outlines the objectives, and explains the paper's structure properly, no need to explain the introduction by the end of the introduction
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| ## 3.1 Overview of Artificial Intelligence Technologies | ||
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| Artificial intelligence is a set of technologies that enable computer systems to perform tasks that require human intelligence. In the context of project management, the most relevant areas of AI are: |
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where did you bring this definition from?
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| # 3. Application of Artificial Intelligence in Forecasting |
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What is mentioned in this paper is actually a bit disappointing. I wanted to see how we can achieve the proposed outcomes. However, you ended up providing information combined with a lot of AI terminology. It feels more like a paper that tells you what AI can help you accomplish, rather than showing how to accomplish it.
Nowadays, tools like ChatGPT can provide such insights through simple conversation.
It would be better if you actually tried predicting delays yourself using one of the techniques mentioned, and provided detailed methodology and results.
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