Abstract in English / Software project management has been less effective as a result of being focused on
resource management and the completion of projects within allocated resources and
other confines. There has not been much focus on improving software project
management quality through improved decision-making, software project
management standards and methodologies, hence the focus of this study to explore
the possibility of using data analytics with project management standards and
methodologies to improve software project management quality.
The main question to be addressed in this study is: Can data analytics use in software
project management improve decision-making and project management quality? This study,
therefore, explores and provides insight on data analytics use, by means of a survey
that was completed by software project managers. A questionnaire was used to collect
data from software project managers. The gathered data was captured and analysed
using the Statistical Package for the Social Sciences (SPSS), and the analysed data
was used for validity testing, while the reliability of the measurement items was tested
using Cronbach’s Alpha. A hypothesis was used to evaluate the effect of data analytics
use on software project management quality. The research made use of the positivist
research method.
The study established that data analytics has not yet been widely adopted by software
project managers and organisations alike, as both the project managers and
organisations have not done enough to promote the training in, and the adoption of
data analytics. The research also established that data analytics can improve software
project management quality through improved decision-making and in complementing
software project management standards. The study findings will be beneficial to
software project managers, researchers and organisations as it reveals the factors that
are necessary to effectively use data analytics in software project management, as
well as highlighting how data analytics improves software project management quality / School of Computing / M.Sc. (Computing)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/26759 |
| Date | 12 1900 |
| Creators | Ngarira, Rutendo |
| Contributors | Mnkandla, Enerst, Mavetera, Nehemiah |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 electronic resource (x, 127 leaves) : illustrations, application/pdf |
Page generated in 0.0028 seconds