According to the authors, "The amount of time spent reading a particular source is not relevant to whether it should be discussed in your analysis.” The authors provide many such useful suggestions, which, although obvious, might be forgotten in the rush to write. They suggest studying a journal article in the subject area to examine the typical structure of a research report. They also suggest writing the abstract last. In addition, they suggest identifying both good and poor decisions made during the research process. They also point out this useful piece of advice: "You can usually get away with being boring, if what you say is well-organized and clear; but you cannot get away with talking nonsense just by being entertaining.”
Sung is an associate professor at the Hong Kong University of Science and Technology . He was a post-doc at the Program Analysis Group at MIT . He received his . (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz . He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. He got his BS in Electrical Engineering from Daegu University , Korea. His research area is Software Engineering, focusing on deep learning based code generation, software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults in program development or in deployed programs by mining software repositories, source code (static analysis), and program execution (dynamic analysis).