[AISWorld] Call for Submission to Special Issue on "Automation, & Analytics for Greener Software Engineering"

[Marlon Dumas]

Dear Colleagues,

we are pleased to announce a Special Issue on 'Automation & Analytics
for Greener Software Engineering' in Elsevier's Information and
Software Technology Journal
(http://www.journals.elsevier.com/information-and-software-technology/)

During the last decade, green software development has become a hot
topic and energy consumption has moved into the focus of software
engineering especially when taking physical devices in modern Internet
of Things applications into account. Traditionally, energy
optimization research has focused at the hardware and the system
level. Recent work indicates that there is ample opportunity to
improve energy consumption at the software level. Engineering green
software-intensive systems is critical in our drive towards a
sustainable, smarter planet. The goal of green software engineering is
to apply green principles to the design and operation of
software-intensive systems. Validating, monitoring and measuring the
greenness of software and providing respective automation support is
critical towards the notion of sustainable and green software.
The focus of this special issue is to attract contributions from
researchers aiming at exploiting software repositories and other data
sources to facilitate the development of green software-intensive 
systems. Of particular interest are also contributions that describe
how to automate aspects of the development, testing and maintenance of
green software-intensive systems, for instance in the context of the 
Internet of Things.

The call can be found here: http://tinyurl.com/j53yr6a

Topics:
====

Automation and analytics to enhance one or more of the following:
• Requirements and design methods for greener software
• Best practices to increase energy efficiency and
sustainability (including software and process improvement)
• Instrument and monitor software systems to key green
indicators (KGIs) and green improvement
• Energy-aware adaptation of software-intensive systems
• Energy challenges and solutions in cyber-physical systems
• Energy efficient IoT and sensor networks
• Self-adaptive and self-managing systems for green computing
• Green architectural knowledge, green design patterns
• Sustainable data management
• Monitoring, verification and validation of greener software
• Analytics tools for green decision making
• Quality & risk assessments, tradeoff analyses between energy
efficiency, sustainability and traditional quality requirements
• Business models for green software (e.g., SaaS, IaaS, PaaS,
and cloud computing)
• Return on investments and economic aspects of green software development
• Incentives to invest in greener software

Submission:
=======

We solicit high quality, original papers that advance the
state-of-the-art, and open new research directions in the area of
Automation & Analytics for Greener Software Engineering. The
submissions, which are anticipated to be of scientific writing, may
focus on theoretical work, empirical studies including industrial
experience, case studies and action-research, systematic literature
reviews, and the like. Strong sections on motivation, related work,
claims of originality, methodology, analysis, discussion,
interpretation, validation, implication, conclusion, and future work
are expected as applicable to the type of paper submitted.

Tentative Timeline:
•       Submission deadline: 15-April-2017
•       Notification: 15-June-2017
•       Major revisions due: 15–July2017
•       Re-reviews completed: 15-September-2017
•       Minor revision due: 15-October-2017
•       Tentative acceptance deadline: 01-November-2017


Authors will need to submit their manuscripts through the online
submission and editorial system for Information and Software
Technology Journal accessible at
https://www.evise.com/profile/#/INFSOF/login. When submitting the
manuscript for this special issue, please select “Special issue:
Greener Software Engineering” as the article type.

Guest Editors:
Dietmar Pfahl, University of Tartu, Estonia (dietmar.pfahl at ut.ee)
Michael Felderer, University of Innsbruck, Austria 
(michael.felderer at uibk.ac.at)