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[null,"1.","Record Nr.",null,"UNISA996465542703316"]
[null,null,"Titolo",null,"COTS-Based Software Systems [[electronic resource] ] : Third International Conference, ICCBSS 2004, Redondo Beach, CA, USA, February 1-4, 2004, Proceedings / / edited by Rick Kazman, Dan Port"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004"]
[null,null,"ISBN",null,"1-280-22387-1"]
[{"$nulls":4},"9786610223879"]
[{"$nulls":4},"3-540-24645-2"]
[null,null,"Edizione",null,"[1st ed. 2004.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 222 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 0302-9743 ; ; 2959"]
[null,null,"Disciplina",null,"005.1"]
[null,null,"Soggetti",null,"Software engineering"]
[{"$nulls":4},"Management information systems"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Software Engineering/Programming and Operating Systems"]
[{"$nulls":4},"Management of Computing and Information Systems"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computer Appl. in Administrative Data Processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Tutorials -- Using eCots Portal for Sharing Information about Software Products on the Internet and in Corporate Intranets -- Testing Component-Based Software – Issues, Challenges, and Solutions -- All You Have to Know When Using Commercial Components to Build Your Software Systems -- Workshops -- COTS Terminology and Categories: Can We Reach a Consensus? -- First International Workshop on Incorporating COTS into Software Systems -- Panels -- Panels Introduction -- Posters -- COTS Components for Spacecraft Ground Systems -- Do We Need Requirements in COTS-Based Software Development? -- The Added Dimension: Information Security in COTS-Based Software Systems -- Poster Sessions -- Poster Title: Systemic Quality of the Component-Based Development Process -- Poster Title: COTS Services -- Poster Title: AIAA (Draft) Guidebook ”Managing the Use of Commercial Off-the-Shelf (COTS) Software Components for Mission Critical Systems” -- Poster Title: CMMI Compliance in COTS-"]
[{"$nulls":4},"Based Development -- Papers -- Security in Large System Acquisition -- On the Measurement of COTS Functional Suitability -- A Case Study in COTS Product Integration Using XML -- COTS Product Selection for Safety-Critical Systems -- Driving Component Selection through Actor-Oriented Models and Use Cases -- Managed Technology Adoption Risk: A Way to Realize Better Return from COTS Investments -- Understanding Services for Integration Management -- Migrating Application Integrations -- Web-Based COTS Component Evaluation -- Software Fault-Tolerance with Off-the-Shelf SQL Servers -- ImpACT: An Alternative to Technology Readiness Levels for Commercial-Off-The-Shelf (COTS) Software -- COTS-Based Systems – Twelve Lessons Learned about Maintenance -- A Wish List for Requirements Engineering for COTS-Based Information Systems -- From System Requirements to COTS Evaluation Criteria -- Empirical Analysis of COTS Activity Effort Sequences -- Assessing COTS Assessment: How Much Is Enough? -- Experience Reports -- Legal and Contractual Implications in the European Union -- Best Practices for the Acquisition of COTS-Based Systems: Lessons Learned from the Space System Domain -- Managing Vulnerabilities in Your Commercial-Off-The-Shelf (COTS) Systems Using an Industry Standards Effort (CVE) -- Costing COTS Integration -- U.S. Coast Guard, Differential GPS, Nationwide Control Station -- Requirements Analysis and Management (RAM) of COTS-Based Systems – A “Success Story” -- COTS Selection and Adoption in a Small Business Environment: How Do You Downsize the Process? -- Managing the COTS Chaos: Experiences from the Trenches Using the Evolutionary Process for Integrating COTS-Based Systems -- Characterization of a Taxonomy for Business Applications and the Relationships Among Them."]
[null,null,null,"Sommario/riassunto","In the short space of about a decade, Commercial-Off-the-Shelf (COTS) software has evolved through being a relatively minor aspect of software development; a t- management-endorsedsilverbulletsolutionforsoftwaredevelopment;adisruptivete- nology requiring people and organizations to extensively rethink their approaches to software development; to an increasingly well-understood software phenomenon for which effective solutions are being developed. Part of this understanding has been to recognize that different COTS application sectors can be at different stages of this evolution. Some sectors are just beginning to become COTS-intensive. Some have evolved COTS solutions that are very well matched to their problem domain. Others, including most large-scale applications, still involve their developers in rethinking how to adapt their traditional software architectures, processes, management practices, and personnel skills to accommodate economically attractive but complex combinations of powerful but incompletely compatible and independently evolving COTS products. The series of International Conferences on COTS-Based Software Systems (ICCBSS) has been established as a continuing forum for bringing together CBSS developers, s- pliers, and researchers to summarize and discuss progress toward understanding and resolving CBSS problems. This year’s conference theme, “Matching Solutions to P- blems,\"re?ectsthisobjective.Wehavebeenfortunatetohavethreeoutstandingkeynote speakers, David Carr, Tricia Oberndorf, and Douglas Schmidt, who have contributed signi?cantly both in analyzing CBSS problems and developing better CBSS solutions. The contributed papers and summaries of workshops, panels, and tutorials in these ProceedingsgiveagoodunderstandingofthenatureanddirectionsofevolutionofCBSS problems and solutions.As has been my experience with previous ICCBSS Proceedings volumes, I believe that you will ?nd lasting "]
[{"$nulls":4},"value in the content of the Proceedings."]
[null,"2.","Record Nr.",null,"UNISA996668469303316"]
[null,null,"Titolo",null,"Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXVI / / edited by De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9500-30-3"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXI, 515 p. 192 illus., 169 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Bioinformatics, , 2366-6331 ; ; 15867"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Cheminformatics.  -- Topological Analysis of F-Multiplicity Corona Graphs: Zagreb Indices and Applications in Molecular Design.  -- Graph-based Multi-scale Learning for Predicting Mass Spectra from Molecules.  -- A Universal Periodicity Injection Module for Crystal Property Prediction.  -- SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTE–ENN and CNN+BiLSTM Integration.  -- Systems Biology.  -- SpatialDSSC: Estimating Cell Type Abundance and Expression Profile from Spatial Transcriptomic Data.  -- Cuproptosis-related genes are correlated with prognostic and immune infiltration in skin cutaneous melanoma patients.  -- CS-Phylo: Accelerating Evolutionary Distance Estimation with Closed Syncmer-Enhanced MinHash.  -- Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers.  -- SGAEMVN: a hybrid neighborhood-based graph attention autoencoder for identifying spatial domains from spatial transcriptomics.  -- MMF2Drug: A Multi-Modal Feature Fusion Method for Improving Targeted Drug Design.  -- DFDGRU-DTI: Drug-Target Interaction "]
[{"$nulls":4},"Prediction Based on Random Walk Embeddings and Bidirectional GRU Neural Network.  -- RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation.  -- Feature Attribution-based Explanation Comparison of Magnetoencephalography Decoding Models.  -- scAFC: Adaptive Fusion Clustering of Single-cell RNA-seq Data through Autoencoder and Graph Attention Networks.  -- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction Prediction.  -- MedMaskDiff: Mamba-based Medical Semantic Image Synthesis for Segmentation.  -- Image Clarity Combination Method Based on Hybrid Sampling.  -- PDA-PAGCN: Predicting Disease-Related piRNA Based on Proxy Attention Graph Convolutional Network.  -- CALM-AcPEP: Predicting Anticancer Peptides using Cross-Attention and Pre-trained Language Model.  -- ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer Peptide Prediction Using Multi-Source Feature Integration.  -- Multimodal GAN Integrating Hypergraph and Knowledge Graph Representations for Synthetic Lethality.  -- EdgeViewDet: Dynamic Edge-Centric Fusion Network with Granger Causality for Neurological Disorders Detection.  -- MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs.  -- Respiratory Sound Classification via Multi-View Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer.  -- Multi-Scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction.  -- DiffiT-HSFDA: Diffusion Based Source-Free Domain Adaptation for Histopathology.  -- Dual-channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment.  -- Whole Slide Images Based Cancer Survival Prediction Using Multi-Task Learning.  -- Leveraging DermoGrabcut Segmentation for Improved CNN-Based Skin Lesion Classification.  -- VirB: A Virus Hierarchical Classification Method Based on ModernBERT.  -- FAPE-DTI: Enhancing Drug–Target Interaction Prediction with Focal Attention and Relative Positional Encoding.  -- An Adaptive Multi-View Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-drug Interactions.  -- E-MSNGO: Explainable Multi-species Protein Function Prediction Model based on Aggregated Networks.  -- PRNet: A Contrastive Ranking Model Based on 3D Convolution and Bi LSTM for ChRs Prediction.  -- DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO via the Evolutionary Scale Modeling Framework.  -- scGECA: a Graph Embedded Representation Learning Approach with Dynamic Attention Mechanism for Single-cell Clustering.  -- ChemTransGNN++: From Reactants to Products via Multiscale Graph Transformer Modeling of Reaction Pathways.  -- ReAlign-Star: An Optimized Realignment Method for Multiple Sequence Alignment, Targeting Star Algorithm Tools.  -- FMAlign3: A Scalable and Adaptive Framework for Large-Scale Multiple Sequence Alignment.  -- Enough Consecutive Matches in k-Tuple Common Substrings.  -- DeepCatl: A combination of channel attention mechanism and Transformer encoding to predict transcription factor binding sites.  -- FDA-YOLO: Fast Domain Adaptation YOLO for Cross-Domain Brain Tumor Detection in Medical Imaging.  -- Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction."]
[null,null,null,"Sommario/riassunto","The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in "]
[{"$nulls":4},"artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. ."]