Literature Review Guidelines MSC In Computer Science 2: Carr

Literature Review Guide Linesmsc In Computer Science 2: carry out a lit

Carry out a literature survey by searching and collecting relevant articles, then refine the selection by title, keywords, abstract, and quick scanning or other criteria. For each article, decide what information to extract. Prepare a synthesis matrix or comparison tables to organize different papers, studies, methods, solutions, or results related to dissertation topics. Use bullets and numbering as needed. Focus on authentic sources such as journals, conference articles, books, and patents, and minimize the use of websites.

In the theory section, provide comprehensive information to help readers understand the dissertation problem, solutions, and other content. Define and expand abbreviations, terms, and symbols upon first use and include them in the 'Terms' section of the chapter. Discuss and cite sources for all figures and tables either before or immediately after their inclusion, and assign appropriate figure/table numbers and titles or captions. For figures, captions go below; for tables, captions go above. Include source citations when figures/tables are adapted or taken from other sources.

Use headings, subheadings, and sub-subheadings to improve readability. Keep sentences concise, ideally no more than 15 words, with a maximum of 25. Ensure each sentence is complete and makes sense independently. Read drafts carefully twice to detect and correct errors before submission.

Paper For Above instruction

Conducting an effective literature review is a fundamental step in the process of developing a robust dissertation in computer science. It involves systematically searching for relevant scholarly articles, filtering them based on specific criteria, and synthesizing the information obtained to inform the research. This process ensures that the researcher is well-versed in current developments, gaps, and challenges within the chosen field of study.

Initially, the researcher begins with a comprehensive search of credible sources such as peer-reviewed journal articles, conference papers, books, and patents. These sources offer reliable and validated information, reducing the risk of incorporating unverified or biased data. Employing academic databases such as IEEE Xplore, ACM Digital Library, Google Scholar, and institutional repositories enhances the quality and relevance of the collected articles. Web sources or non-academic websites should be minimized or used cautiously, primarily for context or recent developments not yet covered in scholarly publications.

Following the search, refinement techniques focus on narrowing the collection to the most pertinent articles. This involves screening titles and keywords to discard irrelevant studies. Abstract review further filters articles by assessing their relevance to the specific dissertation topics or research questions. Quick scans of the full texts help identify articles with strong empirical evidence, innovative methods, or significant theoretical contributions. This step ensures that only high-quality and informative sources are included in the review.

For each selected article, the researcher should determine the key information to be extracted. Typical data points include the research problem, methodology, data collection techniques, key findings, limitations, and suggested future work. Organizing this information systematically is essential, and creating a synthesis matrix or comparative tables aids in visualizing relationships, similarities, differences, and trends across studies.

The synthesis matrix enables the researcher to compare articles based on criteria such as study objectives, approaches, results, and contributions. This facilitates identifying gaps, consensus, or controversy within the literature. Bullet points and numbered lists enhance clarity when summarizing complex information or when listing features and comparisons.

In constructing the literature review, particular attention must be given to the clarity and coherence of writing. Headings and subheadings partition the chapter logically, guiding the reader through different themes or categories of research. Clear definitions of abbreviations, terms, and symbols at their first appearance prevent ambiguity. Including a dedicated 'Terms' section for comprehensive explanations improves understanding, especially for specialized terminology.

Figures and tables complement the narrative by presenting data, algorithms, or models visually. Each figure or table must be introduced and discussed before or immediately after its appearance. Proper numbering, titling, and captions are essential to maintain clarity and professionalism. Captions for figures should be placed below the visual, whereas table titles should be above. When figures or tables are adapted or reproduced from other sources, their origins must be duly cited according to citation standards.

Effective writing also involves avoiding overly long sentences. Limiting sentence length to 10-15 words enhances readability and reduces misinterpretation. Ensuring that each sentence is complete and meaningful independently helps maintain clarity. Before finalizing the draft, the researcher should carefully review the text twice to identify and correct grammatical, typographical, or factual errors, ensuring high-quality presentation.

Overall, a methodical approach to literature review significantly influences the quality and credibility of the dissertation. It demonstrates thorough engagement with existing knowledge, supports the research framework, and potentially identifies innovative gaps to address—ultimately contributing to the scholarly contribution of the research effort.

References

• Booth, W. C., Colomb, G. G., & Williams, J. M. (2008). The craft of research. University of Chicago Press.
• Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele University.
• Bayley, G. (2017). How to write a literature review. Wiley Online Library.
• Fink, A. (2014). Conducting research literature reviews: From the internet to paper. Sage Publications.
• Hart, C. (1998). Doing a literature review. Sage Publications.
• Ridley, D. (2012). The literature review: A step-by-step guide for students. Sage.
• Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, 26(2), xiii-xxiii.
• Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-based management knowledge. British Journal of Management, 14(3), 207-222.
• Tranfield, D., & Starkey, K. (1998). The nature, role and development of Lafdis: a framework for literature review and mapping in management research. Management Research News, 21(11), 39-45.