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Community Recommendations for Sustainable Scientific Software

Journal of Open Research Software, 2015
Science software has contributed to research practices, but the sustainability of scientific software presents challenges for the future use of research resources.
Robert R. Downs, W. Christopher Lenhardt, Erin Robinson, Ethan Davis, Nicholas Weber   +4 more
doaj   +1 more source

Software systems through complex networks science: Review, analysis and applications [PDF]

, 2012
Complex software systems are among most sophisticated human-made systems, yet only little is known about the actual structure of 'good' software. We here study different software systems developed in Java from the perspective of network science.
Bajec, Marko, Šubelj, Lovro
core   +1 more source

Modeling functional requirements using tacit knowledge: a design science research methodology informed approach [PDF]

, 2021
The research in this paper adds to the discussion linked to the challenge of capturing and modeling tacit knowledge throughout software development projects. The issue emerged when modeling functional requirements during a project for a client.
Benfell, Adrian
core   +1 more source

Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models

Complexity, 2020
In recent years, a number of recombination operators have been proposed for multiobjective evolutionary algorithms (MOEAs). One kind of recombination operators is designed based on the Gaussian process model. However, this approach only uses one standard
Xunfeng Wu, Shiwen Zhang, Zhe Gong, Junkai Ji, Qiuzhen Lin, Jianyong Chen   +5 more
doaj   +1 more source

Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy

IEEE Access, 2021
In the decomposition-based multiobjective evolutionary algorithms (MOEA/Ds), a set of subproblems are optimized by using the evolutionary search to exploit the feasible regions.
Naili Luo, Wu Lin, Genmiao Jin, Changkun Jiang, Jianyong Chen   +4 more
doaj   +1 more source

Energy Harvesting-Based Smart Transportation Mode Detection System via Attention-Based LSTM

IEEE Access, 2019
Detecting the transportation mode of an individual's everyday travel provides useful information in urban design, real-time journey planning, and activity monitoring.
Weitao Xu, Xingyu Feng, Jia Wang, Chengwen Luo, Jianqiang Li, Zhong Ming   +5 more
doaj   +1 more source

The BAT-Swift Science Software

, 2004
The BAT instrument tells the Swift satellite where to point to make immediate follow-up observations of GRBs. The science software on board must efficiently process gamma-ray events coming in at up to 34 kHz, identify rate increases that could be due to ...
Barthelmy, S., Blau, M., Cummings, J., Fenimore, E., Galassi, M., Gehrels, N., Hullinger, D., Krimm, H., Markwardt, C., McLean, K., Okada, Y., Ong, R. Mason. J., Palmer, D. M., Parsons, A., Polk, J., Sato, G., Shackleford, L., Suzuki, M., Takahashi, H., Takahashi, T., Tavenner, T., Toshiro, M., Tueller, J., Wallings, S., Watanabe, S.   +24 more
core   +1 more source

How software engineering research aligns with design science: A review

, 2019
Background: Assessing and communicating software engineering research can be challenging. Design science is recognized as an appropriate research paradigm for applied research but is seldom referred to in software engineering. Applying the design science
Baldassarre, Maria Teresa, Engström, Emelie, Höst, Martin, Runeson, Per, Storey, Margaret-Anne   +4 more
core   +1 more source

Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization

Complexity, 2019
Decomposition-based multiobjective evolutionary algorithms (MOEA/Ds) have become increasingly popular in recent years. In these MOEA/Ds, evolutionary search is guided by the used weight vectors in decomposition function to approximate the Pareto front ...
Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming   +5 more
doaj   +1 more source

A new energy-aware wireless sensor network evolution model based on complex network

EURASIP Journal on Wireless Communications and Networking, 2018
For solving the problem of heterogeneous node energy and low energy efficiency in wireless sensor networks (WSNs), an effective and dynamic self-organization evolution model by introducing a complex network model is proposed in this paper. In the process
Shujuan Cui, Yuan Cao, Gengxin Sun, Sheng Bin   +3 more
doaj   +1 more source