Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: During the past three decades a number of theories have been proposed to explain the idiosyncrasies of software development as a team activity. The paper compares and combines these theories into a coherent model of software development that links software coupling and dependency management with team productivity. As a practical test of this model, the paper then investigates, the effects of coupling in two large commercial systems. It achieves this by using the VCML Views visualisation technique, developed by the authors, to expose the system wide coupling found in the code and how this coupling develops during the lifetime of a project. It then compares the resultant VCML views with simple attributes of the two projects to derive a set of important conclusions. In particular, it finds that unmanaged coupling within the code is a good indicator of potential productivity bottlenecks; that the number of programmers on a project is not necessarily a good indicator of programmer productivity; and that the architecture of a software system can radically alter the number of programmers that can effectively work together on a system.
['James Cain', 'Rachel McCrindle']
I am writing a research paper on a idea An investigation into the effects of code coupling on team dynamics and productivity
[{"from": "human", "value": "I am writing a research paper on a idea An investigation into the effects of code coupling on team dynamics and productivity"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: During the past three decades a number of theories have been proposed to explain the idiosyncrasies of software development as a team activity. The paper compares and combines these theories into a coherent model of software development that links software coupling and dependency management with team productivity. As a practical test of this model, the paper then investigates, the effects of coupling in two large commercial systems. It achieves this by using the VCML Views visualisation technique, developed by the authors, to expose the system wide coupling found in the code and how this coupling develops during the lifetime of a project. It then compares the resultant VCML views with simple attributes of the two projects to derive a set of important conclusions. In particular, it finds that unmanaged coupling within the code is a good indicator of potential productivity bottlenecks; that the number of programmers on a project is not necessarily a good indicator of programmer productivity; and that the architecture of a software system can radically alter the number of programmers that can effectively work together on a system."}]