  Tabled evaluation is a recognized and powerful technique that overcomes some
limitations of traditional Prolog systems in dealing with recursion and
redundant sub-computations. We can distinguish two main categories of tabling
mechanisms: suspension-based tabling and linear tabling. While suspension-based
mechanisms are considered to obtain better results in general, they have more
memory space requirements and are more complex and harder to implement than
linear tabling mechanisms. Arguably, the SLDT and DRA strategies are the two
most successful extensions to standard linear tabled evaluation. In this work,
we propose a new strategy, named DRS, and we present a framework, on top of the
Yap system, that supports the combination of all these three strategies. Our
implementation shares the underlying execution environment and most of the data
structures used to implement tabling in Yap. We thus argue that all these
common features allows us to make a first and fair comparison between these
different linear tabling strategies and, therefore, better understand the
advantages and weaknesses of each, when used solely or combined with the
others.
