Paper accepted at 5th Annual World Open Innovation Conference (WOIC 2018)

OSSMMOsIs, an Open Innovation Maturity Model oriented to Open Source Software Adoption

Lucia Mendez, Lidia Lopez, Juan P. Carvallo, Claudia P. Ayala and Catalina Peña

Abstract. Nowadays, is well-known that Open Source Software (OSS) offer attractive benefits (like time-to-market reduction, good software solutions, contributions to knowledge, among others), capable to generate competitive advantages but at the same time, high impact on business model, goals, processes, and risks. The main impact is related to innovations that come from both external and internal stakeholders. Therefore, the way in which an organization manages its internal innovation and opens to the external, constitutes a critical success factor for OSS adoption. We identify a lack of support in organizations to know (in terms of business goals reached) its readiness level to carry out OSS adoption projects in the environment of Open Innovation. In response, the present work proposes an Open Innovation Maturity Model oriented to Open Source Software adoption, OSSMMOsIs1, like a business support tool that facilitates this identification task in early adoption stages.

Paper accepted 1st International Workshop on Quality Requirements in Agile Projects (QuaRAP 2018)

How Practitioners Manage Quality Requirements in Rapid Software Development: A Survey

Lidia López, Jari Partanen, Pilar Rodríguez, Silverio Martínez-Fernández

Abstract. Software quality is an essential competitive factor for the success of software companies today. Increasing software quality levels of software products and services requires an adequate integration of quality requirements (QRs) in the software life-cycle, which is still scarcely supported in current rapid software development (RSD) approaches. One of the goals of the Q-Rapids (Quality-aware Rapid Software Development) approach is to provide tool support to decision-makers for QRs management in RSD. As an initial step, we conducted a survey to explore how software development organizations using RSD manage QRs in their development process. The survey focuses on: (a) how data is gathered for assessing quality, (b) how QRs are managed, and (c) the considered QRs in their products. We received 30 answers, from these answers we can conclude that most of the companies gather data both automatically and manually for monitoring quality; QRs are managed together with functional requirements, sometimes or very often functionality gets priority over quality; and, the most reported QRs are reliability, performance, and security.

If you have experience developing in agile/rapid developments, you can help us answering the survey or helping us in its dissemination:

http://www.essi.upc.edu/~e-survey/index.php?sid=38773&lang=en

Co-located to 26th IEEE International Requirements Engineering Conference (RE 2018).

Paper accepted at the CAiSE Forum 2018

Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development

Lidia López, Silverio Martínez-Fernández, Cristina Gómez, Michał Choraś, Rafał Kozik, Liliana Guzmán, Anna Maria Vollmer, Xavier Franch, Andreas Jedlitschka

Abstract. Software quality is an essential competitive factor for the success of software companies today. Increasing the software quality levels of software products and services requires an adequate integration of quality requirements (QRs) in the software life-cycle, which is still scarcely supported in current rapid software development (RSD) approaches. One of the goals of the Q-Rapids (Quality-aware Rapid Software Development) method is providing tool support to decision-makers for QR management in RSD. The Q-Rapids method is based on gathering data from several and heterogeneous sources, to be aggregated into quality-related strategic indicators (e.g., customer satisfaction, product quality) and presented to decision-makers using a highly informative dashboard. The current release of Q-Rapids Tool provides four sets of functionality: (1) data gathering from source tools (e.g. GitLab, Jira, SonarQube, and Jenkins), (2) aggregation of data into three levels of abstraction (metrics, product/process factors, and strategic indicators), (3) visualization of the aggregated data, and (4) navigation through the aggregated data. The tool  has been evaluated by four European companies that follow RSD processes.

Paper accepted at 30th International Conference on Advance Information Systems Engineering (CAiSE 2018)

Data-Driven Elicitation, Assessment and Documentation of Quality Requirements in Agile Software Development

Xavier Franch, Cristina Gómez, Andreas Jedlitschka, Lidia López, Silverio Martínez-Fernández, Marc Oriol, Jari Partanen

Abstract. Quality Requirements (QRs) are difficult to deal with in agile software development. Given the pressure to deploy fast, quality concerns are often sacrificed for the sake of richer functionality. In addition, artefacts like user stories are not particularly well-suited for representing QRs. In this exploratory paper, we envisage a data-driven method, called Q-Rapids, to QR elicitation, assessment and documentation in agile software development. Q-Rapids proposes: 1) The collection and analysis of design and runtime data in order to raise quality alerts; 2) The suggestion of candidate QRs to address these alerts; 3) A strategic analysis of the impact of such requirements by visualizing their effect on a set of indicators rendered in a dashboard; 4) The documentation of the requirements (if finally accepted) in the backlog. The approach is illustrated with three scenarios evaluated through a questionnaire by experts from a telecom company.