Trends in software maintenance tasks distribution among programmers: A study in a micro software company

Software maintenance improvement in small software companies: Reflections on experiences

“…Software maintenance services include regular maintenance in accordance with legal regulations, fixing bugs and enhancements of existing software solutions. Inquiry of the daily task trends in the company for the period from May 2010 to November 2011 revealed that over 84% of tasks are maintenance tasks [42], while a trend analysis of the tasks for 19 months starting from February 2013 revealed that over 88% of the tasks relate to maintenance [43]. These trends confirm the observation of the company manager before staring the project and clearly points out the importance of assessing and improving software maintenance processes in the company.…”

“…The basic data analysis technique in the process assessment method is inductive thematic analysis [56], which is used for exploring characteristics of maintenance processes [57]. Several quantitative data analysis methods were used for accompanying and justifying qualitative findings, such as trend analysis [43,58], regression analysis for effort estimation [59,60] and task complexity analysis [61], and fuzzy screening for process evaluation [62]. This complex set of quantitative and qualitative data analysis techniques supports triangulation of used data sources and increases the validity of the findings.…”

A lightweight inductive method for process assessment based on frequent feedback: A study in a micro software company

“…Analysis of 2293 tasks completed in the company for the period of 18 months revealed that 2036 tasks are software maintenance tasks, which is 88.79% of all tasks (Stojanov, Stojanov, Dobrilovic, & Petrov, 2017;Stojanov, Stojanov, & Dobirlovic, 2018). This analysis indicates the importance of software maintenance practice for the overall business performance of the company, and justified initiation of a process assessment and improvement project focused on software maintenance processes in the company.…”

“…Data analysis activities includes analyzing trends in quantitative data extracted from the repository of the tasks Stojanov, Stojanov, Dobrilovic, & Petrov, 2017), analyzing relations between different aspects of maintenance processes and organizational issues by using regression analysis (Stojanov, Dobrilovic, Stojanov, & Jevtic, 2013), and ranking maintenance processes by using fuzzy screening method (Stojanov, Brtka, & Dobrilovic, 2014). Data analysis findings and outcomes were discussed in the feedback sessions , where all improvement proposals were examined and ranked based on their relevance for the maintenance practice.…”

Improving bug report triage performance using artificial intelligence based document generation model

“…For software projects, the ratio of the cost of software maintenance to the total project cost exceeds 50% [16][17][18][19]. Corrective maintenance addressing software defects accounts for 20% of all maintenance activities [20][21][22], and an improved efficiency in fixing defect will have a direct effect on the reduction in software development and maintenance costs. These issues are considered to be significant for software development companies.…”