Despite extensive research on attention measurement via EEG during cognitive tasks, the specific relationship between attention levels in programming and software bug frequency remains largely unexplored. Debugging, a critical and time-consuming part of software development, often causes delays due to the effort needed to identify and resolve errors. This paper presents a novel investigation by systematically reviewing literature to explore the potential correlation between programmers' attention levels and bug incidence. A comprehensive search across major academic databases identifies EEG as the most suitable tool for measuring attention in programming tasks. Although EEG is validated for attention assessment and differences between solo and pair programming contexts are noted, no empirical studies have directly linked EEG-measured attention to bug frequency. This paper uniquely proposes future experimental research to explore this unexplored relationship, emphasizing both solo and pair programming scenarios.
