Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the leading causes of IT system failures is the failure of IT system development or operational projects. These developmental or operational failures may result from software faults or erroneous IT system setups or operation. To prevent such failures and their recurrence, it is essential to clarify the reasons for past failures.  proposes a method to clarify the causes of IT system development or operational project failures that lead to system failures. The proposed method extracts the causal relationship beten a project failure item and a system failure using a statistical operation. Furthermore, structural information on the causes of failure is generated using interpretive structural modeling. Eleven failure items re structurized in an experiment that analyzed 40 trouble reports from IT projects. Consequently, a general pattern relating project failures to system failures was extracted.
['Akiyoshi Shimoda']
I am writing a research paper on a idea Causal analysis of system failures from IT project trouble reports
[{"from": "human", "value": "I am writing a research paper on a idea Causal analysis of system failures from IT project trouble reports"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the leading causes of IT system failures is the failure of IT system development or operational projects. These developmental or operational failures may result from software faults or erroneous IT system setups or operation. To prevent such failures and their recurrence, it is essential to clarify the reasons for past failures.  proposes a method to clarify the causes of IT system development or operational project failures that lead to system failures. The proposed method extracts the causal relationship beten a project failure item and a system failure using a statistical operation. Furthermore, structural information on the causes of failure is generated using interpretive structural modeling. Eleven failure items re structurized in an experiment that analyzed 40 trouble reports from IT projects. Consequently, a general pattern relating project failures to system failures was extracted."}]