Software Innovation

Systematic Literature Review (SLR) is an information-based process throughout which each stage must be carefully and systematically designed in planning phase. Important decisions need to be made about various choices involved in SLR planning phase. However, due to the necessarily comprehensive and rigorous nature of SLR, many researchers have difficulties in planning SLRs sufficiently and effectively. In the recent decades, the use of text mining (TM) techniques has been introduced to facilitate SLR process, especially at conducting review phase to support the searching and selection of studies. However, so far, TM techniques have not been applied to support any activities during SLR planning phase.

This research aims to help reviewers in three ways:

1) to extract research topics easily;

2) to better interpret extracted information; and

3) to quickly realize and refine a proposed search string that is poorly formulated or inappropriate.

In this research, we proposed a method that apply Suffix Tree Clustering (STC) method to support decision-making activities within SLR planning phase. This method also known as SLR Planning Based on Suffix Tree Clustering (SLRP-STC) method.A case study was conducted by comparing the proposed method with manual approach. It is observed that the use of SLRP-STC method can improve the planning of SLR.

More details can be found in the following publication:

• Luyi Feng, Yin Kia Chiam, Erma Rahayu binti Mohd Faizal Abdullah and Unaizah Hanum Binti Obaidellah. Using Suffix Tree Clustering Method to Support The Planning Phase of Systematic Literature Review. (Accepted by Malaysian Journal of Computer Science, will be published in 2018.)