Summary

In response to rising complaints about Unsolicited Bulk Email (UBE, also known as ``spam''), MondoSoft Inc.¹ has decided to market a spam filter program, SpamBGon (TM), based on Bayesian statistical decision-making technology. To ensure interoperability of this filter program with other software, it must be capable of interfacing with standard UNIX mail program tools such as procmail (1). Furthermore, MondoSoft has recognized the business opportunity to remarket a sub-component of this program as a high-performance standalone software module. Therefore, this project also includes MondoHashTable, a fully functional hashtable implementation of the java.util.Map interface. To improve marketability and demonstrate these programs' superior performances, both components (the hashtable and the full SpamBGon suite) will also be accompanied by rigorous scientific empirical performance evaluations².