Organizational Change Perspectives on Software Process Improvement

Many software organizations have engaged in Software Process Improvement (SPI) and experienced the challenges related to managing such complex organizational change efforts. As a result, there is an increasing body of research investigating change management in SPI. To provide an overview of what we know and don’t know about SPI as organizational change, this paper addresses the following question: What are the dominant perspectives on SPI as organizational change in the literature and how is this knowledge presented and published? All journals on the AIS ranking list were screened to identify relevant articles and Gareth Morgan’s organizational metaphors (1996) were used to analyze this literature considering the following dimensions of each article: organizational perspective (metaphor), knowledge orientation (normative versus descriptive), theoretical emphasis (high versus low), main audience (practitioner versus academic), geographical origin (Scandinavia, the Americas, Europe, or the Asia-Pacific), and publication level (high versus low ranked journal). The review demonstrates that the literature on SPI as organizational change is firmly grounded in both theory and practice, and Scandinavia and the Americas are the main contributors to this research. The distribution of articles across Morgan’s metaphors is uneven and reveals knowledge gaps that present new avenues for research. The current literature offers important insights into organizational change in SPI from machine, organism, and brain perspectives. Practitioners may use these articles as a guide to SPI insights relevant to their improvement initiatives. In contrast, the impact of culture, dominance, psychic prison, flux and transformation, and politics in SPI have only received scant attention. We argue that these perspectives offer important insights into the challenges involved in managing change in SPI. Researchers are therefore advised to engage in new SPI research based on one or more of these perspectives. Overall, the paper provides a roadmap to help identify insights and specific articles related to SPI as organizational change.Software Process Improvement; Organizational Change; Organizational Metaphors; Images of Organization; Literature Review

Climate Services for Resilient Development (CSRD) Partnership’s work in Latin America

The Climate Services for Resilient Development (CSRD) Partnership is a private-public collaboration led by USAID, which aims to increase resilience to climate change in developing countries through the development and dissemination of climate services. The partnership began with initial projects in three countries: Colombia, Ethiopia, and Bangladesh. The International Center for Tropical Agriculture (CIAT) was the lead organization for the Colombian CSRD efforts – which then expanded to encompass work in the whole Latin American region

Predicting topology propagation messages in mobile ad hoc networks: The value of history

This research was funded by the Spanish Government under contracts TIN2016-77836-C2-1-R,TIN2016-77836-C2-2-R, and DPI2016-77415-R, and by the Generalitat de Catalunya as Consolidated ResearchGroups 2017-SGR-688 and 2017-SGR-990.The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.Peer ReviewedPostprint (published version