With the rise of cyber threats, Software Vulnerability Detection (SVD) plays a vital role in ensuring software security and reliability. The rapid growth of research in this domain necessitates a comprehensive understanding of the overall research landscape, trends, gaps and future directions. Existing literature studies remained fragmented across various subdomains. And traditional methods of analyzing vast body of research manually are challenging and time consuming. To address these, we employ Computational Literature Review (CLR) to systematically analyze over 13,000 research articles from Scopus, complemented by a qualitative interpretation to provide deeper insights beyond automated theme extraction. We identified 13 key research topics along with topic trends, correlations, and contributions. The study contributes a comprehensive research landscape, identifies gaps, and provides future research directions for Information Systems (IS) scholars to develop IT artifacts. This work serves as a foundational resource for advancing SVD research.