Technological Upgrade of Sisvar: 64-bit migration and Waller-Duncan multiple comparison test implementation.
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Abstract
In 2026, Sisvar completed thirty years of existence, with its first official release being implemented in Turbo Pascal in 1996. Since then, Sisvar has evolved from DOS toWindows, being subsequently developed in Delphi, and throughout this trajectory it has gained an increasing number of users. This success has been largely attributable to the high reliability and accuracy of its analytical results. Although it presented several limitations, such as the requirement for balanced designs in experimental data analyses, it also offered numerous competitive advantages over existing statistical software, particularly regarding the decomposition of crossed and nested factors in linear models, enabling mean tests and adjustments of linear regression models. The aforementioned advantages and disadvantages persist to the present day, although the negative aspects have been progressively mitigated at each stage of its development. Thus, in the commemorative year of its thirtieth anniversary, a major update was carried out. Among the implemented updates, we highlight the 64-bit migration to comply with modern operating systems and computers, and the removal of the outdated Paradox and Dbase databases (BDE and DBExpress), which were replaced by the FireDAC database. FireDAC is a high-performance component library for universal data access, developed by Embarcadero for Delphi and C++Builder. It enables fast and native connectivity of applications to several relational databases, such as Firebird, MySQL, SQL Server, Oracle, and SQLite. Furthermore, several minor bug fixes were performed, and one of the most noteworthy incorporations of new methods is the implementation of the Waller-Duncan multiple comparisons test. After 30 years of existence, Sisvar remains free of charge and is made available on my personal page at the following addresses: Personal Home Page (https://des.ufla.br/~danielff/) and Download Sisvar (https://des.ufla.br/~danielff/downloads/Sisvar_Windows_64bits.zip).
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