i-Promise: An Industry Event on Predictive Models in Software Engineering. Toronto.

July 18, 2011. Co-located with International Symposium on Software Testing and Analysis, ISSTA 2011, July 17-21, Toronto

Please consider attending i-Promise in Toronto this summer to meet industry professionals and leading academics in a one day event.

i-Promise is the one day industry event of Promise (Predictive Models in Software Engineering Conference) that seeks verifiable and repeatable models that are useful for the implementation, evaluation, and management of software processes and projects.

Registration is now open at ISSTA 2011 site:
http://issta11.unl.edu/

For more information on i-Promise:
http://promisedata.org/2011/ipromise/

From the Call for Participation of i-Promise:

As the complexity of software systems and the interactions between increasing number of developers have grown, the need for an engineering discipline has emerged to solve common problems of the domain: completing projects on time, within budget and with minimum errors. Software projects are inherently difficult to control. Managers struggle to make many decisions under a lot of uncertainty. They would like to be confident on the product, team, and the processes. There are also many blind spots that may cause severe problems at any point within the project development life cycle. These concerns have drawn much attention to software measurement, software quality, and software cost/ effort estimation. This event will be a “research-industry” day where there will be an explicit focus on both predictive modeling, software testing and analysis. Industry and academia will be stating what they perceive the barriers are to productive collaboration and the potential benefits. The aim is to arrive at some vision of a win-win scenario that can lead to better/ more interaction.

The importance of university research in the North American system of technological innovation has been much admired, and it is often cited as a model that other countries should emulate. The academic research philosophy in this system has always been to gear research to the need for innovation and be relevant to the problems of the wider society. Therefore research helps generating higher levels of sustainable growth, to promote enterprise, innovation and increased productivity. Such a transformation of knowledge into wealth requires tripartite collaboration: a network between university and industry; each party recognizing the mutual benefit of such co-operation; evolving networks of communication. In general, practitioners see working with academia as beneficial only to the extent that it advances the company toward its goals.

In other words, rather than the research outcome the industry is focused on the research impact. While constructing industry-university agreements is an important, and often lengthy, precursor to the collaboration, this one day event will also be concerned with specifically how those collaborations can best be carried out once the agreements are in place.