Search

Software vendors often face the difficult task to deal with large amounts of requirements that enter the company every day. When dealing with this vast amount of requirements, the notion of deciding which requirements will be addressed first, and which will be addressed later, is an important decision. To support software development teams in decision-making, different prioritization techniques are discussed in previous literature. In this paper, two existing prioritization techniques called Analytical Hierarchy Processing (AHP) and Bubblesort are investigated in order to measure their outcome in terms of usability, time consumption and perceived reliability. By conducting an experiment among Dutch Master students, we discovered that Bubblesort outpaced AHP on all aspects, although this could not be supported statistically. However, based on our findings, we can conclude that there is a strong indication that Bubblesort is considered favorable compared to AHP even though it receives less attention in current literature.

Software vendors often face the difficult task to deal with large amounts of requirements that enter the company every day. When dealing with this vast amount of requirements, the notion of deciding which requirements will be addressed first, and which will be addressed later, is an important decision. To support software development teams in decision-making, different prioritization techniques are discussed in previous literature. In this paper, two existing prioritization techniques called Analytical Hierarchy Processing (AHP) and Bubblesort are investigated in order to measure their outcome in terms of usability, time consumption and perceived reliability. By conducting an experiment among Dutch Master students, we discovered that Bubblesort outpaced AHP on all aspects, although this could not be supported statistically. However, based on our findings, we can conclude that there is a strong indication that Bubblesort is considered favorable compared to AHP even though it receives less attention in current literature.

In this paper, we present SP Manager as an innovative tool for managing software products in small and medium independent software vendors (ISVs). This tool incorporates the operational software product management (SPM) processes focused on requirements management and release planning. By using situational method engineering techniques, the tool is easy to adapt to a specific company context. In addition, by making it possible to integrate the tool with the development platform, the tool is easy to deploy and adopt. The expert validation of this tool indicates that the included development concepts, such as the integration of SPM with system defect management, provide additional advantages to other SPM tools in the market.

In this paper, we present SP Manager as an innovative tool for managing software products in small and medium independent software vendors (ISVs). This tool incorporates the operational software product management (SPM) processes focused on requirements management and release planning. By using situational method engineering techniques, the tool is easy to adapt to a specific company context. In addition, by making it possible to integrate the tool with the development platform, the tool is easy to deploy and adopt. The expert validation of this tool indicates that the included development concepts, such as the integration of SPM with system defect management, provide additional advantages to other SPM tools in the market.