Considerations for Effective Requirements Analysis in Offshore Software Development Projects: Lessons from Multi-method Research

Offshore software development using geographically distributed teams is an accepted practice in software development today. However, software development companies have largely only offshored the software development lifecycle’s coding and testing phases. However, lately, offshoring the requirements analysis (RA) phase has become increasingly viable for several reasons including the software industry’s maturation and improved communication technologies. However, successfully evaluating this highly interactive phase between geographically dispersed client and provider teams requires special considerations. In this paper, we present practical insights garnered from conducting experiments and surveys of IS professionals from the Indian software industry and from extensively examining the literature. Our findings confirm that, subject to certain best practices, one can effectively conduct RA in software projects offshore. We present these practices as lessons learned and provide related recommendations for industry and academia

A Perception of the Practice of Software Security and Performance Verification

Security and performance are critical nonfunctional requirements for software systems. Thus, it is crucial to include verification activities during software development to identify defects related to such requirements, avoiding their occurrence after release. Software verification, including testing and reviews, encompasses a set of activities that have a purpose of analyzing the software searching for defects. Security and performance verification are activities that look at defects related to these specific quality attributes. Few empirical studies have been focused on how is the state of the practice in security and performance verification. This paper presents the results of a case study performed in the context of Brazilian organizations aiming to characterize security and performance verification practices. Additionally, it provides a set of conjectures indicating recommendations to improve security and performance verification activities.acceptedVersio

Software Process Improvement in Very Small Entities: An investigation of Software Development Knowledge Management and Team issues in maintaining and evolving software process and process improvement.

technique at both management and team level in software development VSEs. These methods assisted the researchers in examining the attitude and perceptions of practitioners towards the research issues. The researchers also made use of survey questionnaires in VSEs in order to gain more input and to validate the qualitative data. The findings from the first stage analysis (qualitative analysis), in which the content analysis and grounded theory coding approaches were used, show the pattern and detailed categories that influence and are related with the software process and process improvement in VSEs. These categories are related to each other and allow the researchers to produce and validate the studies theoretical model. Likewise the second stage analysis (quantitative analysis) assisted the researchers in conforming and enhancing the first stage findings. This investigation shows that SPI programmes in VSEs are being undertaken in a very informal manner and also in indirect ways. The primary reasons identified for the informal nature of VSE SPI are due to cost, time, customer and company size, which give a higher priority to the product rather than process. In relation to teams, the small team size coupled with the working and management style have lead VSEs to be more informal in their knowledge management process and team organization. Moreover VSEs are largely ignoring the best practice SPI models. The reasons and acceptance criteria for this are discussed. This research also confirmed that SPI does not solely depend on technology but also the contributions of human aspects have a strong emphasize, especially in VSEs. Therefore a contribution of this research is to provide an extended knowledge and understanding of SPI research area in general and within VSEs domain in particular

Agile Software Development Practices in Remote Working Contexts: A Systematic Literature Review

Information Scienc

Human Psychology Factors Influencing Agile Team Autonomy in Post-Pandemic Remote Software Organizations

Agile project management methods are gaining in popularity in the software industry as software development teams are being asked to be adaptive to market needs and resilient to change and uncertainty. With increasing market uncertainty, global competition, and time-to-market pressure, it is becoming a challenge to develop an innovative product and deliver it on-time without the opportunity that comes from team autonomy to experiment and learn from failures in a remote workplace. To resolve this challenge, it is critical to understand the myriad human psychological factors in play that influence Agile team autonomy in a remote work environment. The role of human psychological factors on Agile project delivery success has been largely neglected or superficially covered in extant literature. The purpose of this research study was to study the influence of key human psychological factors on emergence of Agile team autonomy that leads to Agile project success in software organizations. The findings will help Information Systems researchers and practitioners in proactively identifying and addressing human psychology factors challenges to achieve successful delivery of innovative products using Agile Scrum methodology. Using an online survey instrument, the study sampled 137 software professionals from US software companies with experience in the Agile Scrum role of Team Member. The quantitative data generated was analyzed using multiple linear regression. The relationship between the independent variables – the human psychology factors pertaining to Leadership Style, Organization Structure, HR Practices and Stakeholder Engagement and the dependent variable - Agile team autonomy is explained through multiple linear regression. As multiple items are linked to variables, the statistical analysis was performed using the median scores for each variable. One-way ANOVA and Pearson’s correlation coefficient were used to demonstrate the existence (or nonexistence) of relationships between variables. Finally, an empirical model relating the human psychology factor variables and the dependent variable of Agile team autonomy was constructed for the population

A Gaming Laboratory to Study Distributed Collaboration Processes.

Current events present many examples of situations where a fast and coordinated response is required from many and diverse organizations and stakeholders. Technology-mediated communication and collaboration may be the only option for getting things done in situations like these. There is a real need for research on the kinds of environments and processes that best support fast response on urgent tasks for virtual teams. The paper presents the development and initial test of a gaming laboratory to study such processes. The laboratory is adaptable to different kinds of situations. We discuss the design principles and implementation of the laboratory environment, along with lessons learned from the first experiences with it