  Systematic Literature Review (SLR) is a rigorous methodology applied for
Evidence-Based Software Engineering (EBSE) that identify, assess and synthesize
the relevant evidence for answering specific research questions. Benefiting
from the booming online materials in the era of Web 2.0, the technical Web
content starts acting as alternative sources for EBSE. Web knowledge has been
investigated and derived from Web content mining and knowledge discovery
techniques, however they are still significantly different from reviewing
academic literature. Thus the direct adoption of Web knowledge in EBSE lacks of
systematic guidelines. In this paper, we propose to make an SLR adaptation to
bridge the aforementioned gap along two stages. Firstly, we follow the general
logic and procedure of SLR to regulate Web mining activities. Secondly, we
substitute and enhance particular SLR processes with Web-mining-friendly
methods and approaches. At the second stage, we mainly focus on adapting
Conducting Review by integrating a set of automated components ranging from
programmatic searching to various text mining techniques.
