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The inclusion of grey literature (GL) is important to remove publication bias while gathering available evidence regarding a certain topic. The number of systematic literature reviews (SLRs) in Software Engineering (SE) is increasing but we do not know about the extent of GL usage in these SLRs. Moreover, Google Scholar is rapidly becoming a search engine of choice for many researchers but the extent to which it can find the primary studies is not known. Objective: This tertiary study is an attempt to i) measure the usage of GL in SLRs in SE. Furthermore this study proposes strategies for categorizing GL and a quality checklist to use for GL in future SLRs; ii) explore if it is feasible to use only Google Scholar for finding scholarly articles for academic research. Method: We have conducted a systematic mapping study to measure the extent of GL usage in SE SLRs as well as to measure the feasibility of finding primary studies using Google Scholar. Results and conclusions: a) Grey Literature: 76.09% SLRs (105 out of 138) in SE have included one or more GL studies as primary studies. Among total primary studies across all SLRs (6307), 582 are classified as GL, making the frequency of GL citing as 9.23%. The intensity of GL use indicate that each SLR contains 5 primary studies on average (total intensity of GL use being 5.54). The ranking of GL tells us that conference papers are the most used form 43.3% followed by technical reports 28.52%. Universities, research institutes, labs and scientific societies together make up 67.7% of GL used, indicating that these are useful sources for searching GL. We additionally propose strategies for categorizing GL and criteria for evaluating GL quality, which can become a basis for more detailed guidelines for including GL in future SLRs. b) Google Scholar Results: The results show that Google Scholar was able to retrieve 96% of primary studies of these SLRs. Most of the primary studies that were not found using Google Scholar were from grey sources.

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The previous year has seen an enormous increase in the studies related to social engineering. This increase is partly due to increasing number of social engineering attacks and partly due to people's inability to identify the attack. Thus, it is of great importance to find solutions which are helpful for human to understand the social engineering attacks and scenarios. To address this, we have performed a literature review of studies (on social engineering) in top-notch journals and conferences. In this paper, we have enlisted the types of attacks, and the persuasion techniques used by social engineers as listed in the literature. We also combined different theories which researchers tried to use to explain various activities of social engineers. Furthermore, we have mentioned that a better understanding of the social engineering attack scenarios can be done using thematic and game-based analysis techniques.Preliminary empirical evaluation of the proposed game based method shows overall neutral results. Future extension and evaluation is needed for the proposed methods. K E Y W O R D Scybercrime, cyber-security, human factors, human-centered, information security, review, social engineering