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Published: August 14, 2015

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Published: August 14, 2014

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Published: August 14, 2013

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Published: August 14, 2012

1. Energy-Efficient Multiple Targets Tracking Using Target Kinematics in Wireless Sensor Networks

2. Service Priority-based Target Tracking Framework

3. Portable and secure multimedia data transfer in mobile phones using Record Management Store (RMS)

4. Multiple Targets Tracking Using Kinematics in Wireless Sensor Networks

5. Synthesizing Continuous Deployment Practices Used in Software Development

6. Security practices in DevOps

7. Software Security in DevOps: Synthesizing Practitioners’ Perceptions and Practices

8. Characterizing Scientific Reporting in Security Literature: An analysis of ACM CCS and IEEE S&P Paper

9. Which Factors Influence Usage of Build Automation Tools?

10. Predicting Android Application Security and Privacy Risk with Static Code Metrics

11. Characterizing Defective Configuration Scripts Used For Continuous Deployment

12. We Don’t Need Another Hero? The Impact of ‘Heroes’ on Software Development

13. What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects)

14. Characteristics of Defective Infrastructure as Code Scripts in DevOps

15. Anti-patterns in Infrastructure as Code

16. Comprehension Effort and Programming Activities: Related? Or Not Related?

17. What Questions Do Programmers Ask About Configuration As Code?

18. Defect Prediction Metrics for Infrastructure as Code Scripts in DevOps

19. Characterizing The Influence of Continuous Integration: Empirical Results from 250+ Open Source and Proprietary Projects

20. A Systematic Mapping Study of Infrastructure as Code Research

21. The Seven Sins: Security Smells in Infrastructure as Code Scripts

22. A Bird’s Eye View of Knowledge Needs Related to Penetration Testing

23. Challenges with Responding to Static Analysis Tool Alerts

24. Snakes in Paradise?: Insecure Python-related Coding Practices in Stack Overflow

25. Anti-patterns in Infrastructure as Code

26. Blockchain Enabled AI Marketplace: The Price You Pay For Trust

27. Source Code Properties of Defective Infrastructure as Code Scripts

28. Synthesizing Program Execution Time Discrepancies in Julia Used for Scientific Software

29. Share, But Be Aware: Security Smells in Python Gists

30. Characterizing Attacker Behavior in a Cybersecurity Penetration Testing Competition

31. Gang of Eight: A Defect Taxonomy for Infrastructure as Code Scripts

32. The ‘as Code’ Activities: Development Anti-patterns for Infrastructure as Code

33. XI Commandments of Kubernetes Security: A Systematization of Knowledge Related to Kubernetes Security Practices

34. Can We Use Software Bug Reports to Identify Software Vulnerability Strategies?

35. A Curated Dataset of Security Defects in Scientific Software Projects

36. A Preliminary Taxonomy of Techniques Used in Software Fuzzing

37. A Vision to Mitigate Bioinformatics Software Development Challenges

38. Vulnerability Discovery Strategies Used in Software Projects

39. Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts

40. Testing Practices for Infrastructure as Code

41. Security Smells in Ansible and Chef Scripts: A Replication Study

42. Security Bug Report Usage for Software Vulnerability Research: A Systematic Mapping Study

43. An Empirical Study of Bugs in COVID-19 Software Projects

44. ‘Under-reported’ Security Defects in Kubernetes Manifests

45. Practitioner Perception of Vulnerability Discovery Strategies

46. A Different Kind of Smell: Security Smells in Infrastructure as Code Scripts

47. An Empirical Study of Vulnerabilities in Robotics

48. Exercise Perceptions: Experience Report From A Secure Software Development Course

49. How Do Students Feel About Automated Security Static Analysis Exercises?

51. Shhh!: 12 Practices for Secret Management in Infrastructure as Code

50. Malware Detection and Prevention using Artificial Intelligence Techniques

52. What Questions Do Developers Ask About Julia?

53. Vision for a Secure Elixir Ecosystem: An Empirical Study of Vulnerabilities in Elixir Programs

54. Lessons from Research to Practice on Writing Better Quality Puppet Scripts

55. As Code Testing: Characterizing Test Quality in Open Source Ansible Development

56. Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects

57. Can We use Authentic Learning to Educate Students About Secure Infrastructure as Code Development?

58. Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries

59. Investigating Novel Approaches to Defend Software Supply Chain Attacks

60. Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms

61. Log-related Coding Patterns to Conduct Postmortems of Attacks in Supervised Learning-based Projects

62. Quality Assurance for Infrastructure Orchestrators: Emerging Results from Ansible

63. Practitioner Perceptions of Ansible Test Smells

64. Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study

65. Come for Syntax, Stay for Speed, Understand Defects: An Empirical Study of Defects in Julia Programs

66. Detecting and Characterizing Propagation of Security Weaknesses in Puppet-based Infrastructure Management

67. Characterizing Static Analysis Alerts for Terraform Manifests: An Experience Report

68. Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests

69. An Empirical Study of Task Infections in Ansible Scripts

70. Defect Categorization in Compilers: A Multi-vocal Literature Review