Discussion – Solutions for Computer Science Problems
The Problems
The development of solutions for computer science problems is limited by several challenges with different impacts. Programmers work in the best interest of a project and look forward to ascertaining all components work as intended. However, errors may end up inhibiting the project, leading to the need to debug. This is a momentous crisis, and its outcomes are profoundly felt when there are excess bugs. For instance, some buttons might fail to work, missing commands, and other functional errors. Debugging frustrates new developers and delays the project; hence, it is considered a significant problem (Coker et al., 2019).
System and application integration is the second challenge confronting the development of solutions to computer science issues. Integrating custom applications and other third-party components is a major setback in the modern era with thousands of systems and technologies. For example, adding an ERP system to the current infrastructure within an organization increases the project’s complexity. Apparently, different business units perceive data differently, and in some instances, data formatting might be inconsistent. There are also challenges in choosing the appropriate integration tools, connecting to monolithic systems, and minimizing duplicates. Poor integration results in low quality, extra cost, or even project failure (Thakkar, 2017).
Strategies for Resolution of the Problems
Developing and implementing an effective debugging strategy can relieve stress and the consequences of the problem. The foremost step is to comprehend the bugs and why they are occurring. Coker et al. (2019) suggest that reproducing the errors presents a clear view of their origin, making it possible to articulate the best fix. This is because attending to one bug at a time might be strenuous and is not often the best option for most developers. Alternatively, breaking down the complex issue into finer sub-problems is advisable to detect the common pattern. This mechanism works best in the presence of a multiplex problem and is time intestine. Seeking help from colleagues is also advisable, especially when the deadline is critical. Even the most proficient developers commit errors, and thus, one should not hesitate to consult. Adhering to these solutions can invariably make debugging more interesting rather than tiresome.
Several strategies have been proposed to serve as the best remedy for integration. For instance, programmers are compelled to be extremely attentive in testing, prototyping, research, and development as they play an irreplaceable role in successful integration ((Thakkar, 2017). Repeated testing and validation of the system reduces the chances of deploying an incoherent product in the long run. Besides, developers must understand end-user requirements clearly to deliver the best outcomes. In addition, it is essential to research and discover new technologies to remain competitive in the evolving technology. This approach makes it possible to understand the emerging modalities and their operating mechanisms. It is also crucial to design and implement new solutions that can readily integrate with the existing system. Observing these remedies is the ultimate solution to the persistent integration crisis.
Obstacles in Resolving the Problems
Effective Debugging is obscured by the extensive time and resources that have to be spent in the process. It requires persistence and dedication for the best results. It is also hard to resolve logical errors as they are hardly noticeable, unlike runtime and build errors. On the other fold, dealing with integration problems is relatively hindered by an unclear understanding of the third-party components, ineffective communication, and a lack of skills and money (Elfaiz & Raharjo, 2021). Each obstacle manifests differently depending on the infrastructure at hand.
References
Coker, Z., Widder, D. G., Le Goues, C., Bogart, C., & Sunshine, J. (2019, September). A qualitative study on framework debugging. In 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 568-579). IEEE.
Elfaiz, E. A., & Raharjo, T. (2021, March). The Obstacles of Software Process Improvement in
Software House: A Systematic Literature Review and Empirical Study. In Journal of Physics: Conference Series (Vol. 1811, No. 1, p. 012102). IOP Publishing.
Thakkar, M. (2017). 10 Challenges Every Software Product Developer Faces. Retrieved on 1st Oct 2021 from: https://synoptek.com/insights/it-blogs/10-challenges-every-software-product-developer-faces/
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Primary Task Response: Within the Discussion Board area, write 400–600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions with your classmates. Be substantive and clear, and use examples to reinforce your ideas.
Solutions for Computer Science Problems
Conduct research using the library and Internet on common problems encountered during the development of solutions for computer science problems. Answer the following:
Identify at least 2 of the problems that you discovered through your research or problems that you are facing in your own research project.
Provide strategies for the resolution of these problems.
What obstacles might you find when trying to resolve these problems?
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