Abstract The App-based Alumni Tracer System with Statistical Support was specifically developed for the purpose of bridging the gap between alumni and the schools with the use of a computer-based solution employing web and mobile technologies. Specifically, it sought determine the level of usability and acceptability among school officials and alumni as users. Moreover, it also evaluated the performance of the developed system in terms of time behaviour and accessibility. This study employed the descriptive research design. The data were gathered through a survey questionnaire that primarily solicited the perception of respondents about the various functionalities of the developed system using the McCall’s Software Evaluation Criteria for Software Quality Model and the ISO/IEC 25010 Software Characteristics. There were a total of 87 respondents comprising of five experts in the field of information technology, alumni affairs director, ten department chairpersons and sixty-six alumni respondents from the BSCS program of batches 2015 and 2016. The Waterfall Model was used in the Software Development Life Cycle. Moreover, the mean statistic was used to interpret the results. The finding revealed that in terms of reliability and learn ability, the developed system gained a verbally interpretation of “Very Good”. It was easy to learn because of its simple interface design due to its interactive user design. Moreover, the usability and acceptability of the developed system yielded a description of “Very Good” which meant that the system was very usable in terms of monitoring the alumni. The speed of transaction and security of data of Android-based Alumni Tracer with Statistical Support has been described as “Very Good”. Monitoring on the status and whereabouts of alumni was efficiently fast. It was able to meet user requirements through its various functional components and provided accurate results with good level of precision.