Empowering global software development with business intelligence

Context: Global Software Development (GSD) allows companies to take advantage of talent spread across the world. Most research has been focused on the development aspect. However, little if any attention has been paid to the management of GSD projects. Studies report a lack of adequate support for management’s decisions made during software development, further accentuated in GSD since information is scattered throughout multiple factories, stored in different formats and standards. Objective: This paper aims to improve GSD management by proposing a systematic method for adapting Business Intelligence techniques to software development environments. This would enhance the visibility of the development process and enable software managers to make informed decisions regarding how to proceed with GSD projects. Method: A combination of formal goal-modeling frameworks and data modeling techniques is used to elicitate the most relevant aspects to be measured by managers in GSD. The process is described in detail and applied to a real case study throughout the paper. A discussion regarding the generalisability of the method is presented afterwards. Results: The application of the approach generates an adapted BI framework tailored to software development according to the requirements posed by GSD managers. The resulting framework is capable of presenting previously inaccessible data through common and specific views and enabling data navigation according to the organization of software factories and projects in GSD. Conclusions: We can conclude that the proposed systematic approach allows us to successfully adapt Business Intelligence techniques to enhance GSD management beyond the information provided by traditional tools. The resulting framework is able to integrate and present the information in a single place, thereby enabling easy comparisons across multiple projects and factories and providing support for informed decisions in GSD management.

Diversité floristique du peuplement à Pistacia atlantica Desf. dans la région de Béchar (Sud-ouest algérien)

La conservation des groupements à Pistacia atlantica dans la région de Béchar est actuellement menacée par une forte pression humaine et animale. Ce travail consiste à proposer une analyse phyto-écologique fine en se basant sur la dynamique de végétation et les inventaires floristiques. Les explications sont étayées par une analyse statistique (AFC) afin de mieux cerner les facteurs écologiques prépondérants. Nous savons très bien que Pistacia atlantica est une espèce d’avenir pour l’Algérie occidentale, son adaptation au stress écologique lui permet une dynamique et une remontée biologique certaine. Cette espèce peut vivre dans des endroits très secs, de 700 à 1200m d’altitude où la pluviométrie ne dépasse guère les 100 mm/an, avec une température maximale de 42°C et un quotient pluviothermique (Q2) supérieur à 7. La diversité floristique du groupement à Pistacia atlantica est très particulière du fait de sa caractérisation biologique, systématique et phytogéographique. Cet examen fait ressortir l’importance des espèces Saharienne-Endémiques grâce à une adaptation et une résistance plus favorables sous bioclimat typiquement saharien.

Subsidence activity maps derived from DInSAR data: Orihuela case study

A new methodology is proposed to produce subsidence activity maps based on the geostatistical analysis of persistent scatterer interferometry (PSI) data. PSI displacement measurements are interpolated based on conditional Sequential Gaussian Simulation (SGS) to calculate multiple equiprobable realizations of subsidence. The result from this process is a series of interpolated subsidence values, with an estimation of the spatial variability and a confidence level on the interpolation. These maps complement the PSI displacement map, improving the identification of wide subsiding areas at a regional scale. At a local scale, they can be used to identify buildings susceptible to suffer subsidence related damages. In order to do so, it is necessary to calculate the maximum differential settlement and the maximum angular distortion for each building of the study area. Based on PSI-derived parameters those buildings in which the serviceability limit state has been exceeded, and where in situ forensic analysis should be made, can be automatically identified. This methodology has been tested in the city of Orihuela (SE Spain) for the study of historical buildings damaged during the last two decades by subsidence due to aquifer overexploitation. The qualitative evaluation of the results from the methodology carried out in buildings where damages have been reported shows a success rate of 100%.